Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

EnglishPaperback / softbackPrint on demand
Wilson Jeffrey R.
Springer, Berlin
EAN: 9783030489069
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Detailed information

This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health. ​


EAN 9783030489069
ISBN 303048906X
Binding Paperback / softback
Publisher Springer, Berlin
Publication date September 30, 2021
Pages 166
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Chen, (Din) Ding-Geng; Vazquez-Arreola, Elsa; Wilson Jeffrey R.
Illustrations 20 Illustrations, black and white; XXIII, 166 p. 20 illus.
Edition 2020 ed.
Series Emerging Topics in Statistics and Biostatistics
Manufacturer information
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