Generalized Estimating Equations Second Edition

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Generalized Estimating Equations, Second Edition

Author : James W. Hardin
Publisher : CRC Press
ISBN 13 : 1439881138
Total Pages : 280 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Generalized Estimating Equations, Second Edition by : James W. Hardin

Download or read book Generalized Estimating Equations, Second Edition written by James W. Hardin and published by CRC Press. This book was released on 2012-12-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, along with the software code used to create, run, and evaluate the models being examined. Stata is used as the primary software for running and displaying modeling output; associated R code is also given to allow R users to replicate Stata examples. Specific examples of SAS usage are provided in the final chapter as well as on the book’s website. This second edition incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Other enhancements include an examination of GEE marginal effects; a more thorough presentation of hypothesis testing and diagnostics, covering competing hierarchical models; and a more detailed examination of previously discussed subjects. Along with doubling the number of end-of-chapter exercises, this edition expands discussion of various models associated with GEE, such as penalized GEE, cumulative and multinomial GEE, survey GEE, and quasi-least squares regression. It also offers a thoroughly new presentation of model selection procedures, including the introduction of an extension to the QIC measure that is applicable for choosing among working correlation structures. See Professor Hilbe discuss the book.

Generalized Estimating Equations

Author : James W. Hardin
Publisher : CRC Press
ISBN 13 : 1420035282
Total Pages : 237 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Generalized Estimating Equations by : James W. Hardin

Download or read book Generalized Estimating Equations written by James W. Hardin and published by CRC Press. This book was released on 2002-07-30 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although powerful and flexible, the method of generalized linear models (GLM) is limited in its ability to accurately deal with longitudinal and clustered data. Developed specifically to accommodate these data types, the method of Generalized Estimating Equations (GEE) extends the GLM algorithm to accommodate the correlated data encountered in heal

Generalized Linear Models

Author : P. McCullagh
Publisher : Routledge
ISBN 13 : 1351445847
Total Pages : 361 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Generalized Linear Models by : P. McCullagh

Download or read book Generalized Linear Models written by P. McCullagh and published by Routledge. This book was released on 2019-01-22 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and ot

Generalized Estimating Equations

Author : Andreas Ziegler
Publisher : Springer Science & Business Media
ISBN 13 : 1461404991
Total Pages : 144 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Generalized Estimating Equations by : Andreas Ziegler

Download or read book Generalized Estimating Equations written by Andreas Ziegler and published by Springer Science & Business Media. This book was released on 2011-06-17 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems. Therefore, the main goal of this book is to give a systematic presentation of the original generalized estimating equations (GEE) and some of its further developments. Subsequently, the emphasis is put on the unification of various GEE approaches. This is done by the use of two different estimation techniques, the pseudo maximum likelihood (PML) method and the generalized method of moments (GMM). The author details the statistical foundation of the GEE approach using more general estimation techniques. The book could therefore be used as basis for a course to graduate students in statistics, biostatistics, or econometrics, and will be useful to practitioners in the same fields.

An Introduction to Generalized Linear Models, Second Edition

Author : Annette J. Dobson
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584881650
Total Pages : 240 pages
Book Rating : 4.8/5 (816 download)

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Book Synopsis An Introduction to Generalized Linear Models, Second Edition by : Annette J. Dobson

Download or read book An Introduction to Generalized Linear Models, Second Edition written by Annette J. Dobson and published by Chapman and Hall/CRC. This book was released on 2001-11-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models. Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy and examples from an even wider range of application. Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling.

Applied Longitudinal Analysis

Author : Garrett M. Fitzmaurice
Publisher : John Wiley & Sons
ISBN 13 : 9780471214878
Total Pages : 540 pages
Book Rating : 4.2/5 (148 download)

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Book Synopsis Applied Longitudinal Analysis by : Garrett M. Fitzmaurice

Download or read book Applied Longitudinal Analysis written by Garrett M. Fitzmaurice and published by John Wiley & Sons. This book was released on 2004-07 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Generalized Linear Models

Author : Raymond H. Myers
Publisher : John Wiley & Sons
ISBN 13 : 0470556978
Total Pages : 521 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Generalized Linear Models by : Raymond H. Myers

Download or read book Generalized Linear Models written by Raymond H. Myers and published by John Wiley & Sons. This book was released on 2012-01-20 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read. Every statistician working in any area of applied science should buy it and experience the excitement of these new approaches to familiar activities." —Technometrics Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences. This new edition maintains its accessible approach to the topic by reviewing the various types of problems that support the use of GLMs and providing an overview of the basic, related concepts such as multiple linear regression, nonlinear regression, least squares, and the maximum likelihood estimation procedure. Incorporating the latest developments, new features of this Second Edition include: A new chapter on random effects and designs for GLMs A thoroughly revised chapter on logistic and Poisson regression, now with additional results on goodness of fit testing, nominal and ordinal responses, and overdispersion A new emphasis on GLM design, with added sections on designs for regression models and optimal designs for nonlinear regression models Expanded discussion of weighted least squares, including examples that illustrate how to estimate the weights Illustrations of R code to perform GLM analysis The authors demonstrate the diverse applications of GLMs through numerous examples, from classical applications in the fields of biology and biopharmaceuticals to more modern examples related to engineering and quality assurance. The Second Edition has been designed to demonstrate the growing computational nature of GLMs, as SAS®, Minitab®, JMP®, and R software packages are used throughout the book to demonstrate fitting and analysis of generalized linear models, perform inference, and conduct diagnostic checking. Numerous figures and screen shots illustrating computer output are provided, and a related FTP site houses supplementary material, including computer commands and additional data sets. Generalized Linear Models, Second Edition is an excellent book for courses on regression analysis and regression modeling at the upper-undergraduate and graduate level. It also serves as a valuable reference for engineers, scientists, and statisticians who must understand and apply GLMs in their work.

Quasi-Least Squares Regression

Author : Justine Shults
Publisher : CRC Press
ISBN 13 : 1420099930
Total Pages : 223 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Quasi-Least Squares Regression by : Justine Shults

Download or read book Quasi-Least Squares Regression written by Justine Shults and published by CRC Press. This book was released on 2014-01-28 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS also allows for improved analysis with an unstructured correlation matrix. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE. A chapter on longitudinal binary data tackles recent issues raised in the statistical literature regarding the appropriateness of semi-parametric methods, such as GEE and QLS, for the analysis of binary data; this chapter includes a comparison with the first-order Markov maximum-likelihood (MARK1ML) approach for binary data. Examples throughout the book demonstrate each topic of discussion. In particular, a fully worked out example leads readers from model building and interpretation to the planning stages for a future study (including sample size calculations). The code provided enables readers to replicate many of the examples in Stata, often with corresponding R, SAS, or MATLAB® code offered in the text or on the book’s website.

Multivariate Analysis for the Behavioral Sciences, Second Edition

Author : Kimmo Vehkalahti
Publisher : CRC Press
ISBN 13 : 1351202251
Total Pages : 439 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Multivariate Analysis for the Behavioral Sciences, Second Edition by : Kimmo Vehkalahti

Download or read book Multivariate Analysis for the Behavioral Sciences, Second Edition written by Kimmo Vehkalahti and published by CRC Press. This book was released on 2018-12-19 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics

Longitudinal Data Analysis

Author : Garrett Fitzmaurice
Publisher : CRC Press
ISBN 13 : 142001157X
Total Pages : 633 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Longitudinal Data Analysis by : Garrett Fitzmaurice

Download or read book Longitudinal Data Analysis written by Garrett Fitzmaurice and published by CRC Press. This book was released on 2008-08-11 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

R Primer, Second Edition

Author : Claus Thorn Ekstrom
Publisher : CRC Press
ISBN 13 : 1351803735
Total Pages : 427 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis R Primer, Second Edition by : Claus Thorn Ekstrom

Download or read book R Primer, Second Edition written by Claus Thorn Ekstrom and published by CRC Press. This book was released on 2017-02-24 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.

Quasi-Least Squares Regression

Author : Justine Shults
Publisher : CRC Press
ISBN 13 : 1420099949
Total Pages : 221 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Quasi-Least Squares Regression by : Justine Shults

Download or read book Quasi-Least Squares Regression written by Justine Shults and published by CRC Press. This book was released on 2014-01-28 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a d

Econometric Analysis of Cross Section and Panel Data, second edition

Author : Jeffrey M. Wooldridge
Publisher : MIT Press
ISBN 13 : 0262232588
Total Pages : 1095 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Econometric Analysis of Cross Section and Panel Data, second edition by : Jeffrey M. Wooldridge

Download or read book Econometric Analysis of Cross Section and Panel Data, second edition written by Jeffrey M. Wooldridge and published by MIT Press. This book was released on 2010-10-01 with total page 1095 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Generalized Linear Models and Extensions, Second Edition

Author : James W. Hardin
Publisher : Stata Press
ISBN 13 : 1597180149
Total Pages : 413 pages
Book Rating : 4.5/5 (971 download)

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Book Synopsis Generalized Linear Models and Extensions, Second Edition by : James W. Hardin

Download or read book Generalized Linear Models and Extensions, Second Edition written by James W. Hardin and published by Stata Press. This book was released on 2007 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deftly balancing theory and application, this book stands out in its coverage of the derivation of the GLM families and their foremost links. This edition has new sections on discrete response models, including zero-truncated, zero-inflated, censored, and hurdle count models, as well as heterogeneous negative binomial, and more.

Numerical Methods for Nonlinear Estimating Equations

Author : Christopher G. Small
Publisher : OUP Oxford
ISBN 13 : 0191545090
Total Pages : 324 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Numerical Methods for Nonlinear Estimating Equations by : Christopher G. Small

Download or read book Numerical Methods for Nonlinear Estimating Equations written by Christopher G. Small and published by OUP Oxford. This book was released on 2003-10-02 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use of root search algorithms, or one-step estimators, is a standard method of solution. This book provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It provides extensive coverage and comparison of hill climbing algorithms, which, when started at points of nonconcavity often have very poor convergence properties, and for additional flexibility proposes a number of modifications to the standard methods for solving these algorithms. The book also extends beyond simple root search algorithms to include a discussion of the testing of roots for consistency, and the modification of available estimating functions to provide greater stability in inference. A variety of examples from practical applications are included to illustrate the problems and possibilities thus making this text ideal for the research statistician and graduate student. This is the latest in the well-established and authoritative Oxford Statistical Science Series, which includes texts and monographs covering many topics of current research interest in pure and applied statistics. Each title has an original slant even if the material included is not specifically original. The authors are leading researchers and the topics covered will be of interest to all professional statisticians, whether they be in industry, government department or research institute. Other books in the series include 23. W.J.Krzanowski: Principles of multivariate analysis: a user's perspective updated edition 24. J.Durbin and S.J.Koopman: Time series analysis by State Space Models 25. Peter J. Diggle, Patrick Heagerty, Kung-Yee Liang, Scott L. Zeger: Analysis of Longitudinal Data 2/e 26. J.K. Lindsey: Nonlinear Models in Medical Statistics 27. Peter J. Green, Nils L. Hjort & Sylvia Richardson: Highly Structured Stochastic Systems 28. Margaret S. Pepe: The Statistical Evaluation of Medical Tests for Classification and Prediction

Modeling Binary Correlated Responses using SAS, SPSS and R

Author : Jeffrey R. Wilson
Publisher : Springer
ISBN 13 : 3319238051
Total Pages : 264 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Modeling Binary Correlated Responses using SAS, SPSS and R by : Jeffrey R. Wilson

Download or read book Modeling Binary Correlated Responses using SAS, SPSS and R written by Jeffrey R. Wilson and published by Springer. This book was released on 2015-10-12 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

Generalized Linear Models with Random Effects

Author : Youngjo Lee
Publisher : CRC Press
ISBN 13 : 1498720625
Total Pages : 446 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Generalized Linear Models with Random Effects by : Youngjo Lee

Download or read book Generalized Linear Models with Random Effects written by Youngjo Lee and published by CRC Press. This book was released on 2018-07-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.