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SPIRES-BOOKS: FIND KEYWORD EPIDEMIOLOGY *END*INIT* use /tmp/qspiwww.webspi1/15048.0 QRY 131.225.70.96 . find keyword epidemiology ( in books using www Cover
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Call number:9781420079425:ONLINE Show nearby items on shelf
Title:Handbook of Markov Chain Monte Carlo [electronic resource]
Author(s): Steve Brooks (ed.)
Andrew Gelman (ed.)
Date:2011
Edition:1st ed.
Publisher:Taylor & Francis Group
Size:1 electronic resource (619 p)
Contents:Introduction to Markov Chain Monte Carlo -- A short history of MCMC: subjective recollections from incomplete data -- Reversible jump MCMC -- Optimal proposal distributions and adaptive MCMC -- MCMC using Hamiltonian Dynamics -- Inference from simul ations and monitoring convergence -- Implementing MCMC: estimating with confidence -- Perfection within reach: exact MCMC sampling -- Spatial point processes -- The data augmentation algorithm: theory and methodology -- Importance sampling, simulated temp ering, and umbrella sampling -- Likelihood-free MCMC -- MCMC in the analysis of genetic data on related individuals -- An MCMC=based analysis of a mulitlevel model for functional MRI data -- Partially collapsed Gibbs sampling and path-adaptive metropolis- hastings in high-energy astrophysics -- Posterior exploration for computationally intensive forward models -- Statistical ecology -- Gaussian random field models for spatial data -- Modeling preference changes via a Hidden Markovltem response theory model -- Parallel Bayesian MCMC imputation for multiple distributed lag models: a case study in environmental epidemiology -- MCMC for state-space models -- MCMC in educational research -- Applications of MCMC in fisheries science -- Model comparison and simul ation for hierarchical models: analyzing rural-urban migration in Thailand.
ISBN:9781420079425
Keywords: Markov processes , Monte Carlo method
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Call number:1119212480:ONLINE Show nearby items on shelf
Title:Applications of Regression Models in Epidemiology
Author(s): Surez
Date:2017
Publisher:Wiley
Size:1 online resource (273 p.)
ISBN:9781119212485
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:1118964357:ONLINE Show nearby items on shelf
Title:Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology
Author(s): Arifin
Date:2016
Publisher:Wiley
Size:1 online resource (321 p.)
ISBN:9781118964354
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0727914324:ONLINE Show nearby items on shelf
Title:Epidemiology of Work Related Diseases 2e
Author(s): McDonald
Date:2000
Publisher:BMJ Books
Size:1 online resource (569 p.)
ISBN:9780727914323
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0471947539:ONLINE Show nearby items on shelf
Title:Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
Author(s): Biswas
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (583 p.)
ISBN:9780471947530
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0471369144:ONLINE Show nearby items on shelf
Title:Biostatistical Methods in Epidemiology
Author(s): Newman
Date:2001
Publisher:Wiley-Interscience
Size:1 online resource (409 p.)
ISBN:9780471369141
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470014849:ONLINE Show nearby items on shelf
Title:Statistical Methods in Spatial Epidemiology 2e
Author(s): Lawson
Date:2006
Publisher:Wiley
Size:1 online resource (425 p.)
ISBN:9780470014844
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:SPRINGER-2016-9783662493328:ONLINE Show nearby items on shelf
Title:The Cox Model and Its Applications
Author(s): Mikhail Nikulin
Date:2016
Size:1 online resource (18 p.)
Note:10.1007/978-3-662-49332-8
Contents:Introduction: Several Classical Data Examples for Survival Analysis -- Elements of Survival Analysis -- The Cox Proportional Hazards Model -- The AFT, GPH, LT, Frailty, and GLPH Models -- Cross-effect Models of Survival Functions -- The Simple Cros s-effect Model -- Goodness-of-Fit for the Cox Model -- Remarks on Computations in Parametric and Semiparametric Estimation -- Cox Model for Degradation and Failure Time Data -- References -- Index
ISBN:9783662493328
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Epidemiology , Biostatistics , Statistics , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Epidemiology
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Call number:SPRINGER-2016-9783319404134:ONLINE Show nearby items on shelf
Title:Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases
Author(s):
Date:2016
Size:1 online resource (63 p.)
Note:10.1007/978-3-319-40413-4
Contents:Preface -- A Reality of Its Own -- Modeling the Impact of Behavior Change on the Spread of Ebola -- A model for coupled outbreaks contained by behavior change -- Real-time assessment of the international spreading risk associated with the 2014 West African Ebola Outbreak -- Modeling the case of early detection of Ebola virus disease -- Modeling ring vaccination strategies to control Ebola virus disease epidemics -- Estimation of the number of sickbeds during Ebola epidemics using optimal control the ory -- Inverse problems and Ebola virus disease using an age of infection model -- Assessing the Efficiency of Movement -- Restriction as a Control Strategy of Ebola -- Patch models of EVD transmission dynamics -- From bee species aggregation to models of disease avoidance: The \emph{Ben-Hur} effect} -- Designing Public Health Policies to Mitigate the Adverse Consequences of Rural-Urban Migration via Meta-Population Modeling -- Age of Infection Epidemic Models -- Optimal Control of
Vaccination in an Age-Structured Cholera Model -- A Multi-risk Model for Understanding the Spread of Chlamydia -- The 1997 Measles Outbreak in Metropolitan São Paulo, Brazil: Strategic Implications of Increasing Urbanization -- Methods to determine the end of an infectious disease epidemic: A short review -- Statistical considerations in infectious disease randomized controlled trials -- Epidemic models with and without mortality: when does it matter?- Capturing Household Transmission in Compartmen tal Models of Infectious Disease -- Bistable endemic states in a Susceptible-Infectious-Susceptible model with behavior-dependent Vaccination -- Index
ISBN:9783319404134
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Infectious diseases , Epidemiology , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Infectious Diseases , Statistics for Life Sciences, Medicine, Health Sciences , Epidemiology
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Call number:SPRINGER-2016-9783319312453:ONLINE Show nearby items on shelf
Title:Applied Survival Analysis Using R
Author(s): Dirk F Moore
Date:2016
Size:1 online resource (26 p.)
Note:10.1007/978-3-319-31245-3
Contents:Introduction -- Basic Principles of Survival Analysis -- Nonparametric Survival Curve Estimation -- Nonparametric Comparison of Survival Distributions -- Regression Analysis Using the Proportional Hazards Model -- Model Selection and Interpretation -- Model Diagnostics -- Time Dependent Covariates -- Multiple Survival Outcomes and Competing Risks -- Parametric Models -- Sample Size Determination for Survival Studies -- Additional Topics -- References -- Appendix A -- Index -- R Package Index
ISBN:9783319312453
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Epidemiology , Biostatistics , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Statistical Theory and Methods , Epidemiology
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Call number:SPRINGER-2014-9783642378874:ONLINE Show nearby items on shelf
Title:Applied Statistical Inference [electronic resource] : Likelihood and Bayes
Author(s): Leonhard Held
Daniel Sabans Bov
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research andthe central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the scorefunction, the likelihood ratio and the Wald sta tistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and referencepriors, Bayesian point and interval estimates, Bayesian asymptotics a nd empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice andprediction, are discussed both from a frequentist and a Bayesian perspective. A comprehe nsive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis
ISBN:9783642378874
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2014-9783319058016:ONLINE Show nearby items on shelf
Title:The Work of Raymond J. Carroll [electronic resource] : The Impact and Influence of a Statistician
Author(s): Marie Davidian
Xihong Lin
Jeffrey S Morris
Leonard A Stefanski
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology,Nonparametric and Sem iparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, aswere the articles representing each area. The commentaries not only review Rays work, but are also filled with history and anecdotes. Raymond J. Carrolls impact on statistics and numerous other fields of science is far-reaching.His vast catalog of work spans from fundamental contributions to stat istical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the saferoute of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression,measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression
Contents:Measurement Error
Transformation and Weighting
Epidemiology
Nonparametric and Semiparametric Regression for Independent Data
Nonparametric and Semiparametric Regression for Dependent Data
Robustness
Other WorkArticle list for each of these areas is in attachment
ISBN:9783319058016
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Mathematical statistics
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Call number:SPRINGER-2014-9781493908769:ONLINE Show nearby items on shelf
Title:Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research [electronic resource]
Author(s): Daniele Manfredini
Rosa Arboretti
Luca Guarda Nardini
Eleonora Carrozzo
Luigi Salmaso
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This book covers the biostatistical methods utilized to interpret and analyze dental research in the areas of orofacial pain and temporomandibular disorders. It will guide practitioners in these fields who would like to interpretresearch findings or find examples on the design of clinical investigations. After an introduction dealing with the basic issues, the central sections of the textbook are dedicated to the different types of investigations in sight ofspecific goals researchers may have. The fi nal section contains more elaborate statistical concepts for expert professionals. The field of orofacial pain and temporomandibular disorders is emerging as one of the most critical areas ofclinical research in dentistry. Due to the complexity of clinica l pictures, the multifactorial etiology, and the importance of psychosocial factors in all aspects of the TMD practice, clinicians often find it hard to appraise theirmodus operandi, and researchers must constantly increase their knowledge in epidemiology and medical statistics. Indeed, proper methodological designs are fundamental to reaching high levels of internal and external validity offindings in this specific area
Contents:Fundamentals
Etiology and Epidemiology
Diagnosis and Treatment
Literature Reviews
ISBN:9781493908769
Series:eBooks
Series:SpringerLink
Series:SpringerBriefs in Statistics, 2191-544X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Surgery , Mathematical statistics
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Call number:SPRINGER-2014-9781493900053:ONLINE Show nearby items on shelf
Title:Statistical Inference on Residual Life [electronic resource]
Author(s): Jong-Hyeon Jeong
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it isa natural concept for summarizing survival or reliability data. It is also more interpretable than the popular hazard function, especially for communications between patients and physicians regardingthe efficacy of a new drug in themedical field. This book reviews existing st atistical methods to infer the residual life distribution. The review and comparison includes existing inference methods for mean and median, or quantile, residual life analysis throughmedical data examples. The concept of the residual life is also extend ed to competing risks analysis. The targeted audience includes biostatisticians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at anintroductory graduate level is advisable prior to reading this book
Contents:Introduction
Inference on Mean Residual Life
Quantile Residual Life
Quantile Residual Life under Competing Risks
Other Methods for Inference on Quantiles
Study Design based on Quantile (Residual) Life
Appendix: R codes
References
Index
ISBN:9781493900053
Series:eBooks
Series:SpringerLink
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Statistical methods
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Call number:SPRINGER-2014-9781461492726:ONLINE Show nearby items on shelf
Title:Physics of Societal Issues [electronic resource] : Calculations on National Security, Environment, and Energy
Author(s): David Hafemeister
Date:2014
Edition:2nd ed. 2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This book provides the reader with essential tools needed to analyze complex societal issues and demonstrates the transition from physics to modern-day laws and treaties. This second edition features new equation-orientedmaterial and extensive data s ets drawing upon current information from experts in their fields. Problems to challenge the reader and extend discussion are presented on three timely issues: National Security:Weapons, Offense, Defense, Verification, Nuclear Proliferation, Terrorism Environment: Air/Water, Nuclear, Climate Change, EM Fields/Epidemiology Energy: Current Energy Situation, Buildings, SolarBuildings, Renewable Energy, Enhanced End-Use Efficiency, Transportation, Economics Praise for the first edition: This insight is n eeded in Congress and the Executive Branch. Hafemeister, a former Congressional fellow with wideWashington experience, has written a book for physicists, chemists and engineers who want to learn science and policy on weapons, energy, and the environment. Scientists who want to make a difference will want this book. RichardScribner, first Director, Congressional Science and Engineering Fellow Program, AAAS Hafemeister shows how much one can understand about nuclear weapons and missile issues through simpl e back-of-the-envelope calculations. He alsoprovides compact explanations of the partially successful attempts that have been made over the past 60 years to control these weapons of mass destruction. Hopefully, Physics of Societal Issues will help interes t a new generation ofphysicists in continuing this work. Frank von Hippel, Professor, Princeton, former Assistant Director, National Security, White House, OSTP Energy policy must be quantitative. People who don't calculate economic tradeoffs oftenchampi on simplistic hardware. The solution is more... nuclear power, or electric cars, or photovoltaics, etc. Some simple physics will s
Contents:Nuclear Weapons
The Offense: Missiles and War Games
The Defense: ABM/SDI/BMD/NMD
Verification and Arms Control Treaties
Nuclear Proliferation and Terrorism
Air and Water Pollution
Nuclear Pollution
Climate Change
Electromagnetic Fields and Epidemiology
The Energy Situation and Fossil Fuels
Energy in Buildings
Solar Buildings
Renewable Energy
Enhanced End
Use Efficiency
Transportation
Energy Economics
Appendix A: Nuclear Arms Chronology
Appendix B: Energy/ Environment Chronology
Appendix C: Nuclear
Age History
Appendix D: Units
Appendi
ISBN:9781461492726
Series:eBooks
Series:SpringerLink
Series:Physics and Astronomy (Springer-11651)
Keywords: Renewable energy sources , Nuclear engineering , Environmental law
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Call number:SPRINGER-2013-9783642343339:ONLINE Show nearby items on shelf
Title:Regression [electronic resource] : Models, Methods and Applications
Author(s): Ludwig Fahrmeir
Thomas Kneib
Stefan Lang
Brian Marx
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presentedon a solid formal bas is, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, thebook primarily targets an audience that i ncludes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists withinterests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements areconcisely summarized in boxes. Two appendices describe required matrix algebra, as well as e lements of probability calculus and statistical inference
Note:Springer eBooks
Contents:Introduction
Regression Models
The Classical Linear Model
Extensions of the Classical Linear Model
Generalized Linear Models
Categorical Regression Models
Mixed Models
Nonparametric Regression
Structured Additive Regression
Quantile Regression
A Matrix Algebra
B Probability Calculus and Statistical Inference
Bibliography
Index
ISBN:9783642343339
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Bioinformatics , Statistical methods , Mathematical statistics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9783034805773:ONLINE Show nearby items on shelf
Title:Stability of Vector Differential Delay Equations [electronic resource]
Author(s): Michael I Gil
Date:2013
Publisher:Basel : Springer Basel : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Differential equations with delay naturallyarise in various applications, such as control systems, viscoelasticity, mechanics, nuclear reactors, distributed networks, heat flows, neural networks, combustion, interaction ofspecies, microbiology, learn ing models, epidemiology, physiology, and many others. This book systematically investigates the stability of linear as well as nonlinear vector differential equations with delay and equations with causalmappings. It presents explicit conditions for expon ential, absolute and input-to-state stabilities. These stability conditions are mainly formulated in terms of the determinants and eigenvalues of auxiliary matrices dependent on aparameter the suggested approachallows us to apply the well-known results of the theory of matrices. In addition, solution estimates for the considered equations are established which provide the bounds for regions of attraction ofsteady states. The main methodology presented in the book is based on a combined usage of the rece nt norm estimates for matrix-valued functionsand the following methods and results: the generalized Bohl-Perron principle and theintegral version of the generalized Bohl-Perron principle the freezing method the positivity of fundamental solutions. A signi ficant part of the book is devoted to the Aizerman-Myshkis problem and generalized Hill theory ofperiodic systems. The book is intended not only for specialists in the theory of functional differential equations and control theory, but also for anyone w ith a sound mathematical background interested in their variousapplications
Note:Springer eBooks
Contents:Preface
1 Preliminaries
2 Some Results of the Matrix Theory
3 General Linear Systems
4 Time
invariant Linear Systems with Delay
5 Properties of Characteristic Values
6 Equations Close to Autonomous and Ordinary Differential Ones
7 Periodic Systems
8 Linear Equations with Oscillating Coefficients
9 Linear Equations with Slowly Varying Coefficients
10 Nonlinear Vector Equations
11 Scalar Nonlinear Equations
12 Forced Oscillations in Vector Semi
Linear Equations
13 Steady States of Differential Delay Equations
14 Multiplicative Representations of Solution
ISBN:9783034805773
Series:e-books
Series:SpringerLink (Online service)
Series:Frontiers in Mathematics, 1660-8046
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Systems theory
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Call number:SPRINGER-2013-9781461482833:ONLINE Show nearby items on shelf
Title:New Perspectives in Partial Least Squares and Related Methods [electronic resource]
Author(s): Herve Abdi
Wynne W Chin
Vincenzo Esposito Vinzi
Giorgio Russolillo
Laura Trinchera
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:New Perspectives in Partial Least Squares and Related Methodsshares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series ofPLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes expanded asprojection to latent structures. This is an approach for modeling relations between datamatrices of different types of variables measured on the same set of objects. The twenty-two papers in this volume, which include three invited contributions from our keynote speakers, provide a comprehensive overview of the currentstate of the most advanced research related to PLS and related methods. Pro minent scientists from around the world took part in PLS 2012 and their contributions covered the multiple dimensions of the partial least squares-basedmethods. These exciting theoretical developments ranged frompartial least squaresregression and correla tion, component based path modelingto regularized regression and subspace visualization. In following the tradition of the sixprevious PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selec tion, sparse PLS regression, distance based PLS, significance vs. reliability, and non-linear PLS.Finally, these contributions applied PLS methods to data originating from the traditional econometric/economic data to genomics data, brain images, informati on systems, epidemiology, and chemical spectroscopy. Such a broad andcomprehensive volume will also encourage new uses of PLS models in work by researchers and students in many fields
Note:Springer eBooks
Contents:Keynotes
Large Datasets and Genomics
Brain Imaging
Multiblock Data Modeling
ISBN:9781461482833
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v56
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461472766:ONLINE Show nearby items on shelf
Title:Mathematics for the Life Sciences [electronic resource] : Calculus, Modeling, Probability, and Dynamical Systems
Author(s): Glenn Ledder
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Mathematics for the Life Sciences provides present and future biologists with the mathematical concepts and tools needed to understand and use mathematical models and read advanced mathematical biology books. It presentsmathematics in biological cont exts, focusing on the central mathematical ideas, and providing detailed explanations. The author assumes no mathematics background beyond algebra and precalculus. Calculus is presented as aone-chapter primer that is suitable for readers who have not stud ied the subject before, as well as readers who have taken a calculus course and need a review. This primer is followed by a novel chapter on mathematical modeling thatbegins with discussions of biological data and the basic principles of modeling. The rem ainder of the chapter introduces the reader to topics in mechanistic modeling (deriving models from biological assumptions) and empiricalmodeling (using data to parameterize and select models). The modeling chapter contains a thorough treatment of key ide as and techniques that are often neglected in mathematics books. It also provides the reader with a sophisticatedviewpoint and the essential background needed to make full use of the remainder of the book, which includes two chapters on probability and it s applications to inferential statistics and three chapters on discrete and continuousdynamical systems. The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population d ynamics, predator-prey relationships, epidemiology, andimmunology. The large number of problem sets include some drill problems along with a large number of case studies. The latter are divided into step-by-step problems and sorted into the appropriate se ction, allowing readers togradually develop complete investigations from understanding the biological assumptions to a complete analysis
Note:Springer eBooks
Contents:A Brief Summary of Calculus
Mathematical Modeling
Probability Distributions
Working with Probability
Dynamics of Single Populations
Discrete Dynamical Systems
Continuous Dynamical Systems
Index
ISBN:9781461472766
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Life sciences , Differentiable dynamical systems
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Call number:SPRINGER-2013-9781461468714:ONLINE Show nearby items on shelf
Title:ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers [electronic resource]
Author(s): Brajendra C Sutradhar
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics, 2012 held at Memorial University from July 16 to 18. These nine papers cover three different areas forlongitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers. Unlike in theindependence setup, the inferences in measurement err ors, missing values, and/or outlier models, are not adequately discussed in the longitudinal setup. The papers in the present volume provide details on successes and furtherchallenges in these three areas for longitudinal data analysis. This volume is the first outlet with current research in three important areas in the longitudinal setup. The nine papers presented in three parts clearly reveal thesimilarities and differences in inference techniques used for three different longitudinal setups. Because t he research problems considered in this volume are encountered in many real life studies in biomedical, clinical, epidemiology,socioeconomic, econometrics, and engineering fields, the volume should be useful to the researchers including graduate students in these areas
Note:Springer eBooks
Contents:Longitudinal Data Analysis Subject to Measurement Error
Longitudinal Data Analysis Subject to Missing Values
Longitudinal Data Analysis Subject to Outliers
ISBN:9781461468714
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v211
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461455868:ONLINE Show nearby items on shelf
Title:Epidemiologic Studies in Cancer Prevention and Screening [electronic resource]
Author(s): Anthony B Miller
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Epidemiologic Studies in Cancer Prevention and Screening is the first comprehensive overview of the evidence base for both cancer prevention and screening. This book is directed to the many professionals in government, academia,public health and heal th care who need up to date information on the potential for reducing the impact of cancer, including physicians, nurses, epidemiologists, and research scientists. The main aim of the book is to provide arealistic appraisal of the evidence for both cancer prevention and cancer screening. In addition, the book provides an accounting of the extent programs based on available knowledge have impacted populations. It does this through: 1.Presentation of a rigorous and realistic evaluation of the evidence for p opulation-based interventions in prevention of and screening for cancer, with particular relevance to those believed to be applicable now, or on the cusp ofapplication 2. Evaluation of the relative contributions of prevention and screening 3. Discussion o f how, within the health systems with which the authors are familiar, prevention and screening for cancer can be enhanced. Overview ofthe evidence base for cancer prevention and screening, as demonstrated in Epidemiologic Studies in Cancer Prevention and Screening, is critically important given current debates within the scientific community. Of the five componentsof cancer control, prevention, early detection (including screening) treatment, rehabilitation and palliative care, prevention is regarded as t he most important. Yet the knowledge available to prevent many cancers is incomplete, andeven if we know the main causal factors for a cancer, we often lack the understanding to put this knowledge into effect. Further, with the long natural history of mos t cancers, it could take many years to make an appreciable impactupon the incidence of the cancer. Because of these facts, many have come to believe that screening has the most potential for reduction o
Note:Springer eBooks
Contents:Health promotion in cancer prevention
Preventing cancer by ending tobacco use
Prevention of occupationally
induced cancer
The prospects for successful HPV vaccination for cervix and other cancers
Prevention of cancers due to infection
Applying physical activity in cancer prevention
Cancer prevention in the United States
The role of nutrition in cancer prevention
Chemoprevention of cancer: from nutritional epidemiology to clinical trials
The role of hormonal factors in cancer prevention
Controlling environmental causes of cancer
A historical moment: cancer preve
ISBN:9781461455868
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776 : v79
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2013-9781461454281:ONLINE Show nearby items on shelf
Title:ActivEpi Companion Textbook [electronic resource] : A supplement for use with the ActivEpi CD-ROM
Author(s): David G Kleinbaum
Kevin M Sullivan
Nancy D Barker
Date:2013
Edition:2nd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This Companion Textbook supplements the ActivEpi CD-ROM, sold separately. The ActivEpi CD-ROM provides a multimedia presentation of concepts, commonly taught in an introductory epidemiology course. ActivEpi mixes a full array ofmedia to motivate, exp lain, visualize and apply epidemiological concepts. Virtually all of the material on the ActivEpi CD-ROM is included in the Companion Textbook. Because individuals differ in their learning skills, the ActivEpiCD-ROM and the ActivEpi Companion Textbook off er readers different but related options on how to learn epidemiology. The Textbook can be used as a hardcopy reference of the textual materials contained on the CD-ROM, as a resource forthe practice exercises, as a general reference, or even a self-conta ined textbook. The ActivEpi CD-ROM uses: Video to instill real-world motivation for learning and applying epidemiological concepts Narrated Expositions to teach theconcepts using high-quality audio synchronized with text, pictures, and animations Quizzes to provide self-evaluation of basic terms and concepts Data Desk to provide practice applying the methods learned to real data NavigationalTools such as a dynamic table of contents, index and glossary, to allow easy-to-use methods for working through cont ent Web Links to augment the material on the CD with complementary content authored by others. ActivEpi includes 15lessons and over 50 hours of content via more than 250 launchable activities and homework exercises. It can be used in a variety of teaching formats: distance learning, self-paced learning, on-campus courses, and short courses. For thelatest additions to ActivEpi, visit David Kleinbaum's website. http://www.sph.emory.edu/~dkleinb/activepi.htm
Note:Springer eBooks
Contents:Introduction
Objectives and Methods of Epidemiologic Research
Validity of Epidemiologic Research
Epidemiologic Analysis
Glossary
Index
ISBN:9781461454281
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology
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Call number:SPRINGER-2013-9781461448549:ONLINE Show nearby items on shelf
Title:SAS for Epidemiologists [electronic resource] : Applications and Methods
Author(s): Charles DiMaggio
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude ofexamples. It is direct ly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a hands on approach to the use of SAS for a broad number of epidemiologic analyses, readerslearn techniques for data entry and cleaning, cate gorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps forsuccessful programming. SAS (Statistical Analysis System) is an integrated s ystem of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engagein many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widel y used in the fields of epidemiology and public healthresearch, predominately due to its ability to reliably analyze very largeadministrative data sets, as well as more commonly encountered clinical trial and observational research data.
Note:Springer eBooks
Contents:Introduction
The SAS Environment
Working with SAS Data
Preliminary Procedures
Manipulating Data
Descriptive Statistics
Histograms and Plots
Categorical Data Analysis I and II
Cleaning and Assessing Continuous Data using MEANS
ANOVA
Correlation
Linear Regression
Regression Diagnostics
Solutions
ISBN:9781461448549
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2013-9781461439004:ONLINE Show nearby items on shelf
Title:Linear Mixed-Effects Models Using R [electronic resource] : A Step-by-Step Approach
Author(s): Andrzej Gaecki
Tomasz Burzykowski
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics,educational measuremen t, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. Tohelp readers to get familiar with the feature s of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software andapplications. It is built up incrementally, starting with a summa ry of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach isused to describe the R tools for LMMs. All the classes of linear models presented in t he book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariancestructure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text. Andrzej Gaeckiis a Research Professor in the Division of Geriatric Medicine, Department of Internal Medicine, and Institute of Gerontology at the University of Michigan Medical School, and is Research Scientist in the Department of Biostatistics atthe University of Michigan School of Public Health. He earned his M.Sc. in applied mathematics (1977) from the Technical University of Warsaw, Poland, an d an M.D. (1981) from the Medical University of Warsaw. In 1985 he earned a Ph.D.in epidemiology from the Institute of Mother and Child Care in Warsaw (Poland). He is a member of the Editorial Board o
Note:Springer eBooks
Contents:Introduction
Linear Models for Independent Observations
Linear Fixed
effects Models for Correlated Data
Linear Mixed
effects Models
ISBN:9781461439004
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9781461422457:ONLINE Show nearby items on shelf
Title:Analysis of Genetic Association Studies [electronic resource]
Author(s): Gang Zheng
Yaning Yang
Xiaofeng Zhu
Robert C Elston
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, andprofessionals will find the to pics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition toproviding derivations, the book uses real examples and si mulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary backgroundknowledge. The organization of this work allows for both casual reference and close st udy.
Note:Springer eBooks
ISBN:9781461422457
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2012-9781461413530:ONLINE Show nearby items on shelf
Title:Regression Methods in Biostatistics [electronic resource] : Linear, Logistic, Survival, and Repeated Measures Models
Author(s): Eric Vittinghoff
David V Glidden
Stephen C Shiboski
Charles E McCulloch
Date:2012
Edition:2nd ed. 2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This new edition provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Coxmodel for right-censor ed survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they havein common. The authors point out the many-s hared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding,mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics isassumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further readingare provided. For many students and researchers learning to use these methods, this one book may be all they need t o conduct and interpret multipredictor regression analyses. In the second edition, the authors have substantiallyexpanded the core chapters, including new coverage of exact, ordinal, and multinomial logistic models, discrete time and competing risks survi val models, within and between effects in longitudinal models, zero-inflated Poisson andnegative binomial models, cross-validation for prediction model selection, directed acyclic graphs, and sample size, power and minimum detectable effect calculations S tata code is also updated. In addition, there are new chapters onmethods for strengthening causal inference, including propensity scores, marginal structural models, and instrumental variables,and on
Note:Springer eBooks
Contents:Introduction
Exploratory and Descriptive Methods
Basic Statistical Methods
Linear Regression
Logistic Regression
Survival Analysis
Repeated Measures Analysis
Generalized Linear Models
Strengthening Casual Inference
Predictor Selection
Complex Surveys
Summary
ISBN:9781461413530
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology
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Call number:SPRINGER-2012-9781461412052:ONLINE Show nearby items on shelf
Title:Epidemiology [electronic resource] : Key to Prevention
Author(s): Klaus Krickeberg
Van Trong Pham
Thi My Hanh Pham
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is meant for adoption in first courses on epidemiology in Medical Schools and Faculties of Public Health in developing and transition countries and in workshops in these countries, taught for example by members ofinternational organizations . It is also suitable for parallel or second reading within curricula in developed countries and for teaching epidemiology in a Masters programme on International Health. The book will enable anylecturer to compose his or her introductory courses on epide miology by selecting the material deemed appropriate. It will provide a solid foundation for more advanced teaching. The intended readership consists in the first place ofgeneral medical students students following the programme Preventive Physician that runs parallel to general medical studies in some countries students starting to specialize in Public Health and lecturers in epidemiology. Thebook can also serve well as an introduction into epidemiology for anybody else interested in this field, for exam ple staff of health institutions. Examples and practical work are taken from the present situation of health in Vietnam,which can easily be adapted to any other developing or transition country
Note:Springer eBooks
Contents:The idea of epidemiology
Uses and applications of epidemiology
Some case studies and situation analyses
Infectious diseases: descriptive epidemiology, transmissions, surveillance, control
Infectious diseases: modelling, immunity
Diarrhoea and cholera
Tuberculosis and malaria
Dengue fever
Viral hepatitis
HIV/AIDS
The origin of information: registers and health information systems
The origin of information: sampling
Descriptive data analysis and statistics
The normal law and applications
Basic concepts of epidemiology
Cross sectional studies
Cohort
ISBN:9781461412052
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Medicine , Epidemiology , Statistical methods , Statistics
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Call number:SPRINGER-2012-9781461407546:ONLINE Show nearby items on shelf
Title:Handbook of Optimization in Complex Networks [electronic resource] : Theory and Applications
Author(s): My T Thai
Panos M Pardalos
Date:2012
Edition:1
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex Networks is a newly emerging field with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. There has been an explosive growth of researchon complex real-world networks, a theme that is becoming pervasive in many disciplines ranging from mathematics and computer science to the social and biological sciences. Optimization of complex networks with real-world applicationsrequires a deep understanding of the interpl ay between the dynamics of the physical network and the information dynamics within the network. The Handbook of Optimization in Complex Networks: Theory and Applications provides the basictheory of these networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. The volume features a wide range of applications and optimization problems derived fromresearch areas such as computer science, operations research, cellular and molecular chemis try, brain physiology, epidemiology, and ecology. This volume, as well as its companion (The Handbook of Optimization in Complex Networks:Communication and Social Networks ISBN: 978-1-4614-0856-7) is an excellent resource for graduate students, researcher s, and practitioners who wish to learn about the most up to date theory and applications on optimization of complexreal-world networks.
Note:Springer eBooks
Contents:Preface
1. Optimization in Designing Complex Communication Networks (F.S.H. Souza, G.R. Mateus, A.S. Cunha)
2. Fitness
based Generative Models for Power
Law Networks (K. Nguyen, D.A. Tran)
3. Double Pareto Lognormal Distributions in Complex Networks (Z. Fang, J. Wang, B. Liu, W. Gong)
4. Laplacian Spectra and Synchronization Processes on Complex Networks (J. Chen, J. Lu, C. Zhan, G. Chen)
5. Growing Networks driven by the Evolutionary Prisoners Dilemma Game (J. Poncela, J. Gomez
Gardenes, L.M. Floria, Y. Moreno)
6. Defining and Discovering Communities in Social Networks (S
ISBN:9781461407546
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v57
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Mathematical optimization , Telecommunication
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Call number:SPRINGER-2012-9781441966469:ONLINE Show nearby items on shelf
Title:Survival Analysis [electronic resource] : A Self-Learning Text, Third Edition
Author(s): David G Kleinbaum
Mitchel Klein
Date:2012
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchersand statisticians worki ng in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis. The third edition continues to use the unique lecture-bookformat of the firsttwo editions with one new cha pter, additionalsections and clarifications to several chapters, and a revised computer appendix. The Computer Appendix, with step-by-stepinstructions for using the computerpackages STATA, SAS, and SPSS, is expandedtoinclude the software package R. David Kleinbaum is Professor of Epidemiology at the Rollins School of Public Health at Emory University, Atlanta, Georgia. Dr. Kleinbaum is internationallyknown for innovative textbooks and teaching on epidemiological methods, multiple linear regression, logist ic regression, and survival analysis. He has provided extensive worldwide short-course training in over 150 short courses onstatistical and epidemiological methods. He is also the author of ActivEpi (2002), an interactive computer-based instructional text on fundamentals of epidemiology, which has been used in a variety of educational environments includingdistance learning. Mitchel Klein is Research Assistant Professor with a joint appointment in the Department of Environmental and Occupational Health (E OH) and the Department of Epidemiology, also at the Rollins School of Public Healthat Emory University. Dr. Klein is also co-author with Dr. Kleinbaum of the second edition of Logistic Regression- A Self-Learning Text (2002). He has regularly taught epide miologic methods courses at Emory to graduate students inpublic health and in clinical medicine. He is responsible for the epidemiologic methods training of physicians enrolled in Emorys
Note:Springer eBooks
Contents:Introduction to Survival Analysis
Kaplan
Meier Survival Curves and the Log
Rank Test
The Cox Proportional Hazards Model and Its Characteristics
Evaluating the Proportional Hazards Assumption
The Stratified Cox Procedure
Extension of the Cox Proportional Hazards Model for Time
Dependent Variables
Parametric Survival Models
Recurrent Events Survival Analysis
Competing Risks Survival Analysis
ISBN:9781441966469
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology
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Call number:SPRINGER-2011-9781441983428:ONLINE Show nearby items on shelf
Title:Dynamic Mixed Models for Familial Longitudinal Data [electronic resource]
Author(s): Brajendra C Sutradhar
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model thelongitudinal correlati ons for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized todevelop theoretically sound inference techniq ues such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existingworking correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is notsuitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal datacollected from the members of a large number of independent families by using the class of auto-correlation structures conditiona l on the random effects. The book also provides models and inferences for discrete longitudinal data inthe adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special caresfor mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics andeconometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial Universi
Note:Springer eBooks
Contents:Introduction
Overview of Linear Fixed Models for Longitudinal Data
Overview of Linear Mixed Models for Longitudinal Data
Familial Models for Count Data
Familial Models for Binary Data
Longitudinal Models for Count Data
Longitudinal Models for Binary Data
Longitudinal Mixed Models for Count Data
Longitudinal Mixed Models for Binary Data
Familial Longitudinal Models for Count Data
Familial Longitudinal Models for Binary Data
ISBN:9781441983428
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Biometrics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2011-9781441979766:ONLINE Show nearby items on shelf
Title:Numerical Ecology with R [electronic resource]
Author(s): Daniel Borcard
Francois Gillet
Pierre Legendre
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the usersthrough the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with theconstruction of associationmatrices, then addre sses three families of methods: clustering, unconstrained and canonical ordination,and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as theextra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professionalresearchers, practitioners, graduate students and teachers in ecology, environmental science and enginee ring, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background ingeneral and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people w illing to accompany their disciplinary learning with practical applications. People from other fields (e.g.geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presente d in this book. The three authors teach numerical ecology, both theoretical andpractical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and E cology and researcher in Numerical Ecology at Universitde Montral, Qubec, Canada. Franois Gillet is professor of Community Ecology and Ecological Modelling at Universit de Franche-Comt,
Note:Springer eBooks
Contents:Introduction
Exploratory data analysis
Association measures and matrices
Cluster analysis
Unconstrained ordination
Canonical ordination
Spatial analysis of ecological data
ISBN:9781441979766
Series:e-books
Series:SpringerLink (Online service)
Series:Use R
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Statistical methods , Ecology , Forests and forestry
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Call number:SPRINGER-2011-9781441973382:ONLINE Show nearby items on shelf
Title:The Fundamentals of Modern Statistical Genetics [electronic resource]
Author(s): Nan M Laird
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendels first experiments to genome-wideassociation studies, the book de scribes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation,linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intendedaudience is statisticians, biostatisticians, epidemiologists and quantitatively- orien ted geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or topursue research in methodology. A background in intermediate level statistical methods is required. The aut hors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels.No background in genetics is assumed. Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard Sc hool of Public Health. Dr. Laird has contributed to methodology in many different fields, includingmissing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal A nalysis. She is the recipient of many awards and prizes, including Fellow ofthe American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associa te Professor in the Biostatistics Department at theHarvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistica
Note:Springer eBooks
Contents:Introduction to statistical genetics and background in molecular genetics
Principles of inheritance: mendel's laws and genetic models
Some basic concepts from population genetics
Aggregation, heritability and segregation analysis: modeling genetic inheritance without genetic data
The general concepts of gene mapping: Linkage, association, linkage disequilibrium and marker maps
Basic concepts of linkage analysis
The basics of genetic association analysis
Population substructure in association studies
Association analysis in family designs
Advanced topics
Genome wid
ISBN:9781441973382
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Human genetics , Epidemiology , Biometrics , Statistical methods
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Call number:SPRINGER-2011-9780857291158:ONLINE Show nearby items on shelf
Title:A Short History of Mathematical Population Dynamics [electronic resource]
Author(s): Nicolas Bacar
Date:2011
Publisher:London : Springer London
Size:1 online resource
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Note:

As Eugene Wigner stressed, mathematics has proven unreasonably effective in the physical sciences and their technological applications. The role of mathematics in the biological, medical and social sciences has been much moremodest but has recentl y grown thanks to the simulation capacity offered by modern computers.

This book traces the history of population dynamics---a theoretical subject closely connected to genetics, ecology, epidemiology anddemography---where mathematics has brought si gnificant insights. It presents an overview of the genesis of several important themes: exponential growth, from Euler and Malthus to the Chinese one-child policy the development ofstochastic models, from Mendel's laws and the question of extinction of fa mily names to percolation theory for the spread of epidemics, and chaotic populations, where determinism and randomness intertwine.

The reader of thisbook will see, from a different perspective, the problems that scientists face when governments as k for reliable predictions to help control epidemics (AIDS, SARS, swine flu), manage renewable resources (fishing quotas, spread ofgenetically modified organisms) or anticipate demographic evolutions such as aging.

Note:Springer eBooks
Contents:The Fibonacci sequence (1202)
Halleys life table (1693)
Euler and the geometric growth of populations (17481761)
Daniel Bernoulli, dAlembert and the inoculation of smallpox (1760)
Malthus and the obstacles to geometric growth (1798)
Verhulst and the logistic equation (1838)
Bienaym, Cournot and the extinction of family names (18451847)
Mendel and heredity (1865)
Galton, Watson and the extinction problem (18731875)
Lotka and stable population theory (19071911)
The HardyWeinberg law (1908)
Ross and malaria (1911)
Lotka, Volterra and the
ISBN:9780857291158
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Genetics Mathematics , Biology Mathematics , Mathematics_$xHistory
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Call number:SPRINGER-2010-9783642122033:ONLINE Show nearby items on shelf
Title:Simulating Complex Systems by Cellular Automata [electronic resource]
Author(s): Jiri Kroc
Peter M.A Sloot
Alfons G Hoekstra
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamicssuch as the Game of Lif e, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques.Meanwhile, beyond the original realm of applicati ons - Physics, Computer Science, and Mathematics CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance. In thiscontext of fast and impressive progress, spurred further by the enormous attra ction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point fordetailed study on the graduate and post-graduate level. The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/orapply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad ran ge of disciplines is provided - this part will give the reader a good idea of the real strength of thiskind of modeling as well as the incentive to apply CA in their own field of study
Note:Springer eBooks
Contents:to Modeling of Complex Systems Using Cellular Automata
Theory of Cellular Automata
Multilevel Cellular Automata as a Tool for Studying Bioinformatic Processes
Complex Automata: Multi
scale Modeling with Coupled Cellular Automata
Hierarchical Cellular Automata Methods
Cellular Automata Composition Techniques for Spatial Dynamics Simulation
Problem Solving on One
Bit
Communication Cellular Automata
Minimal Cellular Automaton Model of Inter
species Interactions: Phenomenology, Complexity and Interpretations
Cellular Evolutionary Algorithms
Artificial Evolution of Arbitr
ISBN:9783642122033
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832 : v0
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer science , Computer simulation , Engineering
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Call number:SPRINGER-2010-9783642111563:ONLINE Show nearby items on shelf
Title:Workshop on Branching Processes and Their Applications [electronic resource]
Author(s): Miguel Gonzlez Velasco
Ins M Puerto
Rodrigo Martnez
Manuel Molina
Manuel Mota
Alfonso Ramos
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:This volume contains papers presented at the Workshop on Branching Processes and Their Applications (WBPA09). These papers deal with theoretical and practical aspects of branching process theory, showing it to be an area of activeand interesting rese arch. They clearly indicate the vitality of the theoretical research on this topic, as well as the importance of branching concepts in the development of theoretical approaches to solving new problems in appliedfields such as Epidemiology, Cell Kinetics, Genetics, and, of course, Population Dynamics. The topics covered by the papers have been classified into the following areas: Population Growth Models in Random and Varying EnvironmentsSpecial Branching Processes Limit Theorems and Statistics Application s in Cell Kinetics and Genetics Applications in Epidemiology Two-Sex Branching Models This book represents a valuable reference on the contemporary branchingprocesses theory, presenting also many open problems which will lead to future research
Note:Springer eBooks
ISBN:9783642111563
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v197
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2010-9781441971708:ONLINE Show nearby items on shelf
Title:Regression with Linear Predictors [electronic resource]
Author(s): Per Kragh Andersen
Lene Theil Skovgaard
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done by focusing on the manycommon aspects of these mod els, in particular the linear predictor, which combines the effects of all explanatory variables into a function which is linear in the unknown parameters. Specification and interpretation of various choicesof parametrization of the effects of the covaria tes (categorical as well as quantitative) and interaction among these are elaborated upon. The merits and drawbacks of different link functions relating the linear predictor to theoutcome are discussed with an emphasis on interpretational issues, and the fact that different research questions arise from adding or deleting covariates from the model is emphasized in both theory and practice. Regression models witha linear predictor are commonly used in fields such as clinical medicine, epidemiology, and pub lic health, and the book, including its many worked examples, builds on the authors' more than thirty years of experience as teachers,researchers and consultants at a biostatistical department. The book is well-suited for readers without a solid mathemati cal background and is accompanied by Web pages documenting in R, SAS, and STATA, the analyses presented throughoutthe text. The authors are since 1978 affiliated with the Department of Biostatistics, University of Copenhagen. Per Kragh Andersen is profess or he is a co-author of the Springer book Statistical Models Based on Counting Processes,and has served on editorial boards on several statistical journals. Lene Theil Skovgaard is associate professor she has considerable experience as teacher and consult ant, and has served on the editorial board of Biometrics
Note:Springer eBooks
Contents:Introduction
Statistical models and inference
Regression models with one categorical covariate
A single quantitative covariate
Multiple regression, the linear predictor
Model building
Other link functions and other types of outcome
Further topics
ISBN:9781441971708
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776 : v0
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2010-9781441969446:ONLINE Show nearby items on shelf
Title:Frontiers of Statistical Decision Making and Bayesian Analysis [electronic resource] : In Honor of James O. Berger
Author(s): Ming-Hui Chen
Peter Mller
Dongchu Sun
Keying Ye
Dipak K Dey
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This bookprovides a review of c urrent research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objectiveBayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods forcategorical and spatio-temporal data analysis and posterior simulation met hods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modelingand applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical andapplied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian stat istics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians whomake use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and re search scholars in statistics or biostatistics who wish to acquaint themselves with currentresearch frontiers. Ming-Hui Chen is Professor of Statistics at the University of Connecticut Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut Peter Mller is Professor of Biostatistics at theUniversity of Texas M. D. Anderson Cancer Center Dongchu Sun is Professor of Statistics at the University of Missouri- Columbia and Keyi
Note:Springer eBooks
Contents:Objective Bayesian Inference with Applications
Bayesian Decision Based Estimation and Predictive Inference
Bayesian Model Selection and Hypothesis Tests
Bayesian Inference for Complex Computer Models
Bayesian Nonparametrics and Semi
parametrics
Bayesian Influence and Frequentist Interface
Bayesian Clinical Trials
Bayesian Methods for Genomics, Molecular and Systems Biology
Bayesian Data Mining and Machine Learning
Bayesian Inference in Political Science, Finance, and Marketing Research
Bayesian Categorical Data Analysis
Bayesian Geophysical, Spatial and Tempora
ISBN:9781441969446
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2010-9781441968241:ONLINE Show nearby items on shelf
Title:Recursive Partitioning and Applications [electronic resource]
Author(s): Heping Zhang
Burton H Singer
Date:2010
Edition:Second
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
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Note:The routes to many important outcomes including diseases and ultimately death as well as financial credit consist of multiple complex pathways containing interrelated events and conditions. We have historically lacked effectivemethodologies for ident ifying these pathways and their non-linear and interacting features. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization. A highlight of the secondedition is the many worked examples, most of t hem from epidemiology, bioinformatics, molecular genetics, physiology, social demography, banking, and marketing. The statistical issues, conceptual and computational, are not only treatedin detail in the context of important scientific questions, but als o an array of substantively-driven judgments are explicitly integrated in the presentation of examples. Going considerably beyond the standard treatments of recursivepartitioning that focus on pathway representations via single trees, this second edition has entirely new material devoted to forests from predictive and interpretive perspectives. For contexts where identification of factorscontributing to outcomes is a central issue, both random and deterministic forest generation methods are introduced via examples in genetics and epidemiology. The trees in deterministic forests are reproducible and more easilyinterpretable than the components of random forests. Also new in the second edition is an extensive treatment of survival forests and post-market ev aluation of treatment effectiveness. Heping Zhang is Professor of Public Health,Statistics, and Child Study, and director of the Collaborative Center for Statistics in Science, at Yale University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, a MyrtoLefkopoulou Distinguished Lecturer Awarded by Harvard School of Public Health, and a Medallion lecturer selected by the Institute of Mathematical Statis
Note:Springer eBooks
Contents:Introduction
A Practical Guide to Tree Construction
Logistic Regression
Classification Trees for a Binary Response
Examples Using Tree
Based Analysis
Random and Deterministic Forests
Analysis of Censored Data: Examples
Analysis of Censored Data: Concepts and Classical Methods
Analysis of Censored Data: Survival Trees and Random Forests
Regression Trees and Adaptive Splines for a Continuous Response
Analysis of Longitudinal Data
Analysis of Multiple Discrete Responses
ISBN:9781441968241
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v0
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2010-9781441965622:ONLINE Show nearby items on shelf
Title:Modeling Complex Systems [electronic resource]
Author(s): Nino Boccara
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
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Note:Modeling Complex Systems, 2nd Edition, explores the process of modeling complex systems, providing examples from such diverse fields as ecology, epidemiology, sociology, seismology, and economics. It illustrates how models ofcomplex systems are built and provides indispensable mathematical tools for studying their dynamics. This vital introductory text is useful for advanced undergraduate students in various scientific disciplines, and serves as animportant reference book for graduate students and yo ung researchers. This enhanced second edition includes: . -recent research results and bibliographic references -extra footnotes which provide biographical information on citedscientists who have made significant contributions to the field -new and improv ed worked-out examples to aid a students comprehension of the content -exercises to challenge the reader and complement the material Nino Boccara is alsothe author of Essentials of Mathematica: With Applications to Mathematics and Physics (Springer, 2007)
Note:Springer eBooks
Contents:Introduction
How to Build Up a Model
Differential Equations
Recurrence Equations
Chaos
Spatial Models
Networks
Power
Law Distributions
Glossary
References
Index
ISBN:9781441965622
Series:e-books
Series:SpringerLink (Online service)
Series:Graduate Texts in Physics, 1868-4513
Series:Physics and Astronomy (Springer-11651)
Keywords: Ecology , Systems theory , Computer science
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Call number:SPRINGER-2010-9781441917423:ONLINE Show nearby items on shelf
Title:Logistic Regression [electronic resource] : A Self-Learning Text
Author(s): David G Kleinbaum
Mitchel Klein
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique lecture book format. They often say the book reads like they are listening to an outstandinglecturer. This edition includ es three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readabledescription of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regressionmethods courses. The new chapters are: Additional Modeling Strategy Issues, inclu ding strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing Assessing Goodness to Fitfor Logistic Regression Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves The Compu ter Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16)for procedures described in the main text. David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public He alth in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks andteaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. Th e recipient of numerous teaching awards, he received the first Association ofSchools of Public Health Pfizer Award for Distinguished Career Teaching in 2005. Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and O ccupational Health Department and the EpidemiologyDepartment at Emory University Rollins School of Public Health. He has successfully designed and taught epidemiologic methods physicians at E
Note:Springer eBooks
Contents:Introduction to logistic regression
Important special cases of the logistic model
Computing the odds ratio in logistic regression
Maximum likelihood techniques: An overview
Statistical inferences using maximum likelihood techniques
modeling strategy guidelines
Modeling strategy for assessing interaction and confounding
Additional modeling strategy issues
Assessing Goodness of Fit for logistic regression
Assessing discriminatory performance of a binary logistic regression model: ROC curves
Analysis of matched data using logistic regression
Polytomous logistic re
ISBN:9781441917423
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology
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Call number:SPRINGER-2010-9781441915863:ONLINE Show nearby items on shelf
Title:Fundamentals of Clinical Trials [electronic resource]
Author(s): Lawrence M Friedman
Curt D Furberg
David L DeMets
Date:2010
Edition:Fourth
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revisedconsiderably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, datamonitoring, and issues in analysis. This book is int ended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must criticallyevaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials from a variety ofmedical disciplines to illustrate the fundamentals. The text is organized sequentially from definin g the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher. These areasinclude pre-specifying the scientific questions to be tested and appropriate outcome measures, determining the organiza tional structure, estimating an adequate sample size, specifying the randomization procedure, implementing theintervention and visit schedules for participant evaluation, establishing an interim data and safety monitoring plan, detailing the final analysi s plan, and reporting the trial results according to the pre-specified objectives.Although a basic introductory statistics course is helpful in maximizing the benefit of this book, a researcher or practitioner with limited statistical background would sti ll find most if not all the chapters understandable andhelpful. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this
Note:Springer eBooks
Contents:Introduction to clinical trials
Ethical issues
What is the question?
Study population
Basic study design
The randomization process
Blindness
Sample size
Baseline assessment
Recruitment of study participants
Data collection and quality control
Assessing and reporting adverse effects
Assessment of health
related quality of life
Participant adherence
Survival analysis
Monitoring response variables
Issues in data analysis
Closeout
Reporting and interpreting of results
Multicenter trials
ISBN:9781441915863
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Oncology , Public health , Epidemiology
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Call number:SPRINGER-2010-9781441915726:ONLINE Show nearby items on shelf
Title:Statistical Methods for Disease Clustering [electronic resource]
Author(s): Toshiro Tango
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenced disease incidence data into the mainstream of spatial epidemiology. Thisbook offers a modern p erspective on statistical methods for detecting disease clustering, an indispensable procedure to find a statistical evidence on aetiology of the disease under study. With increasing public health concerns aboutenvironmental risks, the need for sophistica ted methods for analyzing spatial health events is immediate. Furthermore, the research area of statistical methods for disease clustering now attracts a wide audience due to the perceivedneed to implement wide-ranging monitoring systems to detect possibl e health-related events such as the occurrence of the severe acute respiratory syndrome (SARS), pandemic influenza and bioterrorism As an invaluable resource for a widerange of audience including public health researchers, epidemiologists and biostatistia ns, this book features: A concise introduction to basic concepts of disease clustering/clusters A historical overview of methods for diseaseclustering A detailed treatment of selected methods useful for practical investigation of disease clustering Analys is and illustration of methods for a variety of real data sets Toshiro Tango, Ph.D., is the Director of Department ofTechnology Assessment and Biostatistics of National Institute of Public Health, Japan. He has published a number of methodological and app lied articles on various aspects of biostatistics. He is Past President of the Japanese Region ofthe International Biometric Society. He has served as Associate Editor for several journals including Statistics in Medicine and Biometrics
Note:Springer eBooks
Contents:Introduction
Clustering and clusters
Disease mapping: Visualization of spatial clustering
Tests for temporal clustering
General tests for spatial clustering: Regional count data
General tests for spatial clustering: Case
control point data
Tests for space
time clustering
Focused tests for spatial clustering
Space
time scan statistics
ISBN:9781441915726
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Oncology , Epidemiology , Biometrics , Statistical methods
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Call number:SPRINGER-2010-9781441912138:ONLINE Show nearby items on shelf
Title:Design of Observational Studies [electronic resource]
Author(s): Paul R Rosenbaum
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatmentson people, including me dicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design ofObservational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided intofour parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discussesthe practical aspects of using propensity scores and other tools to create a matched compari son that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used toappraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured cova riates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir RonaldFishers striking advice for observational studies, make your theories elaborate. Paul R. Rosenbaum is the Robert G. Putzel Professor of Stati stics at the Wharton School of the University of Pennsylvania. He is a fellow of theAmerican Statistical Association. In 2003, he received the George W. Snedecor Award from the Committee of Presidents of Statistical Societies. He is a senior fellow of the Leonard Davis Institute of Health Economics and a ResearchAssociate at the Population Studies Center, both at the University of Pennsylvania. The second edition of his book, Observational Studi
Note:Springer eBooks
Contents:Beginnings
Dilemmas and Craftsmanship
Causal Inference in Randomized Experiments
Two Simple Models for Observational Studies
Competing Theories Structure Design
Opportunities, Devices, and Instruments
Transparency
Matching
A Matched Observational Study
Basic Tools of Multivariate Matching
Various Practical Issues in Matching
Fine Balance
Matching Without Groups
Risk
Set Matching
Matching in R
Design Sensitivity
The Power of a Sensitivity Analysis and Its Limit
Heterogeneity and Causality
Uncommon but Dramatic Responses to Treatment
Antic
ISBN:9781441912138
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2010-9781441907424:ONLINE Show nearby items on shelf
Title:Bayesian Item Response Modeling [electronic resource] : Theory and Applications
Author(s): Jean-Paul Fox
Date:2010
Edition:First
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computingtechnology have made th e Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and state-of-the-art latent variable response models are considered for complexassessment and survey data to solve real-world probl ems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources.The book discusses methods for analyzing item response data and the complex relationships commonly associated with human response behavior and features Self-contained introduction to Bayesian item response modeling and a coverageof extending standard models to handle complex assessment data A thorough overview of Bayesian esti mation and testing methods for item response models, where MCMC methods are emphasized Numerous examples that cover a wide rangeof application areas, including education, medicine, psychology, and sociology Datasets and software (S+, R, and WinBUGS code ) of the models and methods presented in the book are available on www.jean-paulfox.com Bayesian ItemResponse Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze it em response data from a Bayesian perspective. It is a guide to the growing areaof Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference. Jean-Paul Fox is Associate Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His mainresearch activities are in several areas of Bayesian response modeling. Dr. Fox has published numerous articles in the areas of Bayes
Note:Springer eBooks
Contents:Introduction to Bayesian response modeling
Bayesian hierarchical response modeling
Basic elements of Bayesian statistics
Estimation of Bayesian item response models
Assessment of Bayesian item response models
Multilevel item response theory models
Random item effects models
Response time item response models
Randomized item response models
ISBN:9781441907424
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Educational tests and measurements , Marketing , Social sciences Methodology , Psychometrics
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Call number:SPRINGER-2010-9780387938356:ONLINE Show nearby items on shelf
Title:Modern Infectious Disease Epidemiology [electronic resource] : Concepts, Methods, Mathematical Models, and Public Health
Author(s): Alexander Krmer
Mirjam Kretzschmar
Klaus Krickeberg
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pros and cons ofvaccinating young girls agai nst human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and overreaction of the public, we need solid scientific knowledge andan understanding of all aspects of infectious dise ases and their control. The aim of our book is to present the reader with the general picture and the main ideas of the subject. The book introduces the reader to methodological aspectsof epidemiology that are specific for infectious diseases and provides insight into the epidemiology of some classes of infectious diseases characterized by their main modes of transmission. This choice of topics bridges the gapbetween scientific research on the clinical, biological, mathematical, social and economic aspect s of infectious diseases and their applications in public health. The book will help the reader to understand the impact of infectiousdiseases on modern society and the instruments that policy makers have at their disposal to deal with these challenges. I t is written for students of the health sciences, both of curative medicine and public health, and for expertsthat are active in these and related domains, and it may be of interest for the educated layman since the technical level is kept relatively low. The authors are internationally renowned experts in the field of infectious diseaseepidemiology. The editors come from different scientific backgrounds but have been devoted to research in infectious disease epidemiology for many years. Alexander Krmer i s an internist and epidemiologist who co-founded the firstSchool of Public Health in the German-speaking region of Europe at the University of Bielefeld. Mirjam Kretzschmar is a mathematician an
Note:Springer eBooks
Contents:I Challenges
The Global Burden of Infectious Diseases
Global Challenges of Infectious Disease Epidemiology
EmergingEmerging infectious diseases and Re
emerging Infectious Diseases
Infectious Disease Control Policies and the Role of Governmental and Intergovernmental Organisations
II General concepts and methods
Principles of Infectious Disease Epidemiology
Social Risk Factors
Molecular Typing and Clustering Analysis as a Tool for Epidemiology of Infectious Diseases
Epidemiologic Surveillance
Outbreak Investigations
Geographic Information Systems
Methods and
ISBN:9780387938356
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Medicine , Emerging infectious diseases , Cartography , Statistical methods
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Call number:SPRINGER-2010-9780387922577:ONLINE Show nearby items on shelf
Title:Spatial Statistics and Modeling [electronic resource]
Author(s): Carlo Gaetan
Xavier Guyon
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types ofspatial data: geostatis tical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs andMarkov point processes). The level is relatively advanced, and the presentation concise but complete. The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics,autocorrelation and second-order statistics, maximum likelihood methods, appr oximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter isdevoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation). A large number of real examples are studied with R, and each chapter ends with a set of theoretical and appliedexercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary back ground. The book is accessible to senior undergraduate students with a solid math background and Ph.D.students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematica lly sound reference. This book is the English translation of Modlisation etStatistique Spatiales published by Springer in the series Mathmatiques & Applications, a series established by Socit de Mathmatiques Appliques et Industrielles (SMAI). Carlo Gaetan is Associate Professor of Statistics in theDepartment of Statistics at the Ca' Foscari University of Venice. Xavier Guyon is Professor Emeritus at the University of Paris 1 Panthon-Sorbon
Note:Springer eBooks
Contents:Second order spatial models and geostatistics
Gibbs
Markov random fields on networks
Spatial point processes
Simulation of spatial models
Statistics for spatial models
ISBN:9780387922577
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical geography , Distribution (Probability theory) , Mathematical statistics , Environmental sciences , Econometrics
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Call number:SPRINGER-2010-9780387687650:ONLINE Show nearby items on shelf
Title:Introduction to Probability Simulation and Gibbs Sampling with R [electronic resource]
Author(s): Eric A Suess
Bruce E Trumbo
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete andcontinuous states. Applica tions include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds ofgenetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate theuse of Gibbs samplers to find posterior distributions and interval estim ates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of itsinterface and examples of its use for Gibbs sampling for Bayesian estimation. No previous experie nce using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems(along with comments and explanations). Noteworthy features of the book are its intuitive approach, presenting ideas with examples from biostatistics, reliability, and other fields its large number of figures and its extraordinarilylarge number of problems (about a third of the pages), ranging from simple drill to presentation of additional topics. Hints and answers are prov ided for many of the problems. These features make the book ideal for students ofstatistics at the senior undergraduate and at the beginning graduate levels. Eric A. Suess is Chair and Professor of Statistics and Biostatistics and Bruce E. Trumbo is Profe ssor Emeritus of Statistics and Mathematics, both atCalifornia State University, East Bay. Professor Suess is experienced in applications of Bayesian methods and Gibbs sampling to epidemiology. Profes
Note:Springer eBooks
Contents:Introductory Examples: Simulation, Estimation, and Graphics
Generating Random Numbers
Monte Carlo Integration and Limit Theorems
Sampling from Applied Probability Models
Screening Tests
Markov Chains with Two States
Examples of Markov Chains with Larger State Spaces
Introduction to Bayesian Estimation
Using Gibbs Samplers to Compute Bayesian Posterior Distributions
Using WinBUGS for Bayesian Estimation
Appendix: Getting Started with R
ISBN:9780387687650
Series:e-books
Series:SpringerLink (Online service)
Series:Use R : v0
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2010-9780387686363:ONLINE Show nearby items on shelf
Title:Design and Analysis of Vaccine Studies [electronic resource]
Author(s): M. Elizabeth Halloran
Jr. Longini Ira M
Claudio J Struchiner
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Widespread immunization has many different kinds of effects in individuals and populations, including in the unvaccinated individuals. The challenge is in understanding and estimating all of these effects. This book presents aunified conceptual frame work of the different effects of vaccination at the individual and at the population level. The book covers many different vaccine effects, including vaccine efficacy for susceptibility, for disease, forpost-infection outcomes, and for infectiousness. The book includes methods for evaluating indirect, total and overall effects of vaccination programs in populations. Topics include household studies, evaluating correlates of immuneprotection, and applications of casual inference. Material on concepts of in fectious disease epidemiology, transmission models, casual inference, and vaccines provides background for the reader. This is the first book to presentvaccine evaluation in this comprehensive conceptual framework. This book is intended for colleagues and students in statistics, biostatistics, epidemiology, and infectious diseases. Most essential concepts are described in simplelanguage accessible to epidemiologists, followed by technical material accessible to statisticians. M. Elizabeth Halloran and Ira Longini are professors of biostatistics at the University of Washington and the Fred Hutchinson CancerResearch Center in Seattle. Claudio Struchiner is professor of epidemiology and biostatistics at the Brazilian School of Public Health of the Oswaldo Cr uz Foundation in Rio de Janeiro. The authors are prominent researchers in the area.Halloran and Struchiner developed the study designs for dependent happenings to delineate indirect, total, and overall effects. Halloran has made contributions at the inter face of epidemiological methods, causal inference, andtransmission dynamics. Longini works in the area of stochastic processes applied to epidemiological infectious disease problems, specializing in the
Note:Springer eBooks
Contents:Introduction and examples
Overview of vaccine effects and study designs
Immunology and early phase trials
binomial and stochastic transmission models
R0 and deterministic models
Evaluating protective effects of vaccination
Modes of action and time
varying VES
Further Evaluation of Protective Effects
Vaccine effects on post
infection outcomes
House
hold based studies
Analysis of households in communities
Analysis of independent households
Assessing Indirect, total and overall effects
Randomization and baseline transmission
Surrogates of protection
ISBN:9780387686363
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Emerging infectious diseases
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Call number:SPRINGER-2009-9789048123131:ONLINE Show nearby items on shelf
Title:Mathematical and Statistical Estimation Approaches in Epidemiology [electronic resource]
Author(s): Gerardo Chowell
James M Hyman
Lus M. A Bettencourt
Carlos Castillo-Chavez
Date:2009
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is intended as a primary resource for graduate students and researchers working in the field of infectious disease epidemiology. This collection of contributions presents deterministic and stochastic approaches forepidemic modelling and sta tistical inference of epidemiological parameters including the real time assessment of the transmission potential of infectious diseases, issues related to the sensitivity of model assumptions, the use ofhistorical archives as valuable sources of epidemio logical information, modeling of vaccination programs and relapse, statistical challenges in bio surveillance, approaches for the spatial and temporal analysis of disease time series,quantification of parameter uncertainty and methodologies for sensitivit y analysis. Methods and tools are illustrated with simulated and real datasets such as the 1918 influenza pandemic in Winnipeg, Canada, the 1968 influenza pandemicin US cities, Severe Acute Respiratory Syndrome (SARS), the 2005 Marburg fever outbreak in A ngola, rubella epidemics in Peru, rotavirus in Mexico and pneumococcal disease in Australia
Note:Springer eBooks
Contents:Chapter 1: The basic reproduction number of infectious diseases: Computation and estimation using compartmental epidemic models Gerardo Chowell and Fred Brauer
Chapter 2: Stochastic Epidemic Modeling Priscilla E. Greenwood and Luis F. Gordillo
Chapter 3: Two critical issues in quantitative modeling of communicable diseases: Inference of unobservables and dependent happening Hiroshi Nishiura, Masayuki Kakehashi and Hisashi Inaba
Chapter 4: A note on the definition of contacts, measures of mixing, and model parametrization Stephen Tennenbaum
Chapter 5: The effective reproduction numb
ISBN:9789048123131
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Medicine , Emerging infectious diseases , Epidemiology
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Call number:SPRINGER-2009-9783642012846:ONLINE Show nearby items on shelf
Title:Adaptive Networks [electronic resource] : Theory, Models and Applications
Author(s): Thilo Gross
Hiroki Sayama
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:With adaptive, complex networks, the evolution of the network topology and the dynamical processes on the network are equally important and often fundamentally entangled. Recent research has shown that such networks can exhibit aplethora of new pheno mena which are ultimately required to describe many real-world networks. Some of those phenomena include robust self-organization towards dynamical criticality, formation of complex global topologies based onsimple, local rules, and the spontaneous divisi on of labor in which an initially homogenous population of network nodes self-organizes into functionally distinct classes. These are just a few. This book is a state-of-the-art surveyof those unique networks. In it, leading researchers set out to define the future scope and direction of some of the most advanced developments in the vast field of complex network science and its applications
Note:Springer eBooks
Contents:Preface
Adaptive Networks
Part I: Real
World Examples of Adaptive Networks
Part II: Self
Organization of Adaptive Networks
Part III: Contact Processes and Epidemiology on Adaptive Networks
Part IV: Social Games on Adaptive Networks
Part V: Graph
Rewriting
Based Approaches
ISBN:9783642012846
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Mathematics , Information systems , Biological models , Systems theory , Engineering
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