Multivariate Generalized Linear Mixed Models Using R
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Multivariate Generalized Linear Mixed Models Using R
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Author : Damon Mark Berridge
language : en
Publisher: CRC Press
Release Date : 2011-04-25
Multivariate Generalized Linear Mixed Models Using R written by Damon Mark Berridge and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-25 with Mathematics categories.
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R. A Unified Framework for a Broad Class of Models The authors first discuss members of the family of generalized linear models, gradually adding complexity to the modeling framework by incorporating random effects. After reviewing the generalized linear model notation, they illustrate a range of random effects models, including three-level, multivariate, endpoint, event history, and state dependence models. They estimate the multivariate generalized linear mixed models (MGLMMs) using either standard or adaptive Gaussian quadrature. The authors also compare two-level fixed and random effects linear models. The appendices contain additional information on quadrature, model estimation, and endogenous variables, along with SabreR commands and examples. Improve Your Longitudinal Study In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this book explains the statistical theory and modeling involved in longitudinal studies. Many examples throughout the text illustrate the analysis of real-world data sets. Exercises, solutions, and other material are available on a supporting website.
Multivariate Generalized Linear Mixed Models Using R
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Author : Damon Mark Berridge
language : en
Publisher: CRC Press
Release Date : 2011-04-25
Multivariate Generalized Linear Mixed Models Using R written by Damon Mark Berridge and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-25 with Mathematics categories.
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R.A Un
Multivariate Generalized Linear Mixed Models Using R Second Edition
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Author : Damon Mark Berridge
language : en
Publisher:
Release Date : 2017
Multivariate Generalized Linear Mixed Models Using R Second Edition written by Damon Mark Berridge and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Electronic books categories.
"This book provides a foundation for the application of methods for analyzing multivariate generalized linear mixed models using R. It covers the necessary background in GLMs, mixed models, and multivariate data analysis, and combines them to provide methodology for MGLMs. It has a practical focus, with examples throughout, a supplementary R package for all the models, and detailed case studies. The second edition has been updated with an R package for all models and more detailed case studies."--Provided by publisher.
Multivariate Generalized Linear Mixed Models Using R
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Author : Taylor & Francis Group
language : en
Publisher:
Release Date : 2019-01-24
Multivariate Generalized Linear Mixed Models Using R written by Taylor & Francis Group and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-24 with categories.
Univariate And Multivariate General Linear Models
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Author : Kevin Kim
language : en
Publisher: CRC Press
Release Date : 2006-10-11
Univariate And Multivariate General Linear Models written by Kevin Kim and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-11 with Mathematics categories.
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral
Biostatistics In Biopharmaceutical Research And Development
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Author : Ding-Geng Chen
language : en
Publisher: Springer Nature
Release Date : 2024-12-24
Biostatistics In Biopharmaceutical Research And Development written by Ding-Geng Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Mathematics categories.
The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in statistical methodologies in biopharmaceutical applications and FDA regulations. This book honors 80 years of contributions and dedication of the Deming Conference in biostatistics, and biopharmaceutical clinical trial methodology and applications. All chapters are contributed by world-class and prominent Deming speakers, who've contributed their cutting-edge research and developments to the community. Volume 2 covers Biomarkers in Drug Development, Time-To-Event Data Analysis and Methods, and emerging development in biopharmaceutical biostatistics. This book aims to booster research, education, and training in biostatistics and in biopharmaceutical research and development.
Multilevel Analysis
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Author : Tom A B Snijders
language : en
Publisher: SAGE
Release Date : 2011-12-06
Multilevel Analysis written by Tom A B Snijders and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-06 with Reference categories.
The Second Edition of this classic text introduces the main methods, techniques, and issues involved in carrying out multilevel modeling and analysis. Snijders and Boskers’ book is an applied, authoritative, and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book has been comprehensively revised and updated since the last edition, and now includes guides to modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold, and Mix.
Statistical Methods For Evaluating Safety In Medical Product Development
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Author : A. Lawrence Gould
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-23
Statistical Methods For Evaluating Safety In Medical Product Development written by A. Lawrence Gould and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-23 with Medical categories.
This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It also provides understanding and practical guidance on the application of contemporary statistical methods to contemporary issues in safety evaluation during medical product development. Each chapter provides sufficient detail to the reader to undertake the design and analysis of experiments at various stages of product development, including comprehensive references to the relevant literature. Provides a guide to statistical methods and application in medical product development Assists readers in undertaking design and analysis of experiments at various stages of product development Features case studies throughout the book, as well as, SAS and R code
Generalized Linear Models With Random Effects
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Author : Youngjo Lee
language : en
Publisher: CRC Press
Release Date : 2018-07-11
Generalized Linear Models With Random Effects written by Youngjo Lee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-11 with Mathematics categories.
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.
Multilevel Modeling Using R
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Author : W. Holmes Finch
language : en
Publisher: CRC Press
Release Date : 2019-07-16
Multilevel Modeling Using R written by W. Holmes Finch and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-16 with Mathematics categories.
Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.