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Analysis Of Longitudinal And Cluster Correlated Data


Analysis Of Longitudinal And Cluster Correlated Data
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Analysis Of Longitudinal And Cluster Correlated Data


Analysis Of Longitudinal And Cluster Correlated Data
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Author : Nan M. Laird
language : en
Publisher: IMS
Release Date : 2004

Analysis Of Longitudinal And Cluster Correlated Data written by Nan M. Laird and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.




Longitudinal Data Analysis


Longitudinal Data Analysis
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Author : Garrett Fitzmaurice
language : en
Publisher: CRC Press
Release Date : 2008-08-11

Longitudinal Data Analysis written by Garrett Fitzmaurice and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-11 with Mathematics categories.


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



Correlated Data Analysis Modeling Analytics And Applications


Correlated Data Analysis Modeling Analytics And Applications
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Author : Peter X. -K. Song
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-30

Correlated Data Analysis Modeling Analytics And Applications written by Peter X. -K. Song and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Mathematics categories.


This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.



Analysis Of Correlated Data With Sas And R Third Edition


Analysis Of Correlated Data With Sas And R Third Edition
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Author : Mohamed M. Shoukri
language : en
Publisher: CRC Press
Release Date : 2007-05-17

Analysis Of Correlated Data With Sas And R Third Edition written by Mohamed M. Shoukri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-17 with Mathematics categories.


Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates several additions that take into account recent developments in the field. New to the Third Edition The introduction of R codes for almost all of the numerous examples solved with SAS A chapter devoted to the modeling and analyzing of normally distributed variables under clustered sampling designs A chapter on the analysis of correlated count data that focuses on over-dispersion Expansion of the analysis of repeated measures and longitudinal data when the response variables are normally distributed Sample size requirements relevant to the topic being discussed, such as when the data are correlated because the sampling units are physically clustered or because subjects are observed over time Exercises at the end of each chapter to enhance the understanding of the material covered An accompanying CD-ROM that contains all the data sets in the book along with the SAS and R codes Assuming a working knowledge of SAS and R, this text provides the necessary concepts and applications for analyzing clustered and correlated data.



Analysis Of Correlated Data With Sas And R


Analysis Of Correlated Data With Sas And R
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Author : Mohamed M. Shoukri
language : en
Publisher: CRC Press
Release Date : 2018-04-27

Analysis Of Correlated Data With Sas And R written by Mohamed M. Shoukri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Mathematics categories.


Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results. The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples. The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity. Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri’s research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.



Applied Longitudinal Data Analysis For Epidemiology


Applied Longitudinal Data Analysis For Epidemiology
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Author : Jos W. R. Twisk
language : en
Publisher: Cambridge University Press
Release Date : 2013-05-09

Applied Longitudinal Data Analysis For Epidemiology written by Jos W. R. Twisk and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-09 with Medical categories.


A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.



Analysis Of Longitudinal Data


Analysis Of Longitudinal Data
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Author : Peter Diggle
language : en
Publisher: Oxford University Press, USA
Release Date : 2013-03-14

Analysis Of Longitudinal Data written by Peter Diggle and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Language Arts & Disciplines categories.


This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.



Mixed Effects Models For Complex Data


Mixed Effects Models For Complex Data
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Author : Lang Wu
language : en
Publisher: CRC Press
Release Date : 2009-11-11

Mixed Effects Models For Complex Data written by Lang Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-11 with Mathematics categories.


Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors,



Longitudinal And Panel Data


Longitudinal And Panel Data
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Author : Edward W. Frees
language : en
Publisher: Cambridge University Press
Release Date : 2004-08-16

Longitudinal And Panel Data written by Edward W. Frees and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-16 with Business & Economics categories.


An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.



Analysis Of Generalized Linear Models For Cluster Correlated Data


Analysis Of Generalized Linear Models For Cluster Correlated Data
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Author : Andrea Gloria Rotnitzky
language : en
Publisher:
Release Date : 1988

Analysis Of Generalized Linear Models For Cluster Correlated Data written by Andrea Gloria Rotnitzky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with categories.