ENGLISH

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

By Jeffrey R. Wilson , Elsa Vazquez-Arreola , (Din) Ding-Geng Chen

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030489038, 9783030489045
DOI
10.1007/978-3-030-48904-5
Language
english
Format
PDF
Filesize
6 MB (5993563 bytes)
Series
Emerging Topics in Statistics and Biostatistics
Edition
1st ed.
Pages
XXIII, 166\182
Time added
2021-01-06 05:41:07
Chemistry and Earth Sciences; Statistical Theory aComputer ScienceHealth Sciences; Biostatistics; Statistics for EngMedicinePhysicsStatistics; Statistics for Life Sciences

Description

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. ​

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