Jeffrey R. Wilson Elsa Vazquez-Arreola (Din) Ding-Geng Chen Wilson Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

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

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

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Beschreibung

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.

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.



Features pioneering developments of computational and methodological statistics and biostatistics with applications to real and familiar datasets Presents affiliated data and computer programs so that readers can implement the covered methods Provides macros developed by other researchers in the area of time-dependent covariates Promotes applications to health and health-related data, while also including models that can be used to analyze any kind of data with time-dependent covariates Analyzes data with SAS and R

Autor*in

Jeffrey R. Wilson

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

generalized method of moments estimators GMM estimators method of moments estimators GMM correlated observations generalized estimating equation estimators generalized estimating equation GEE population-averaged population averaged Bayesian GMM estimators

Stimmen zu »Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates«

Details

ISBN: 9783030489038
Verlag: Springer International Publishing
Erscheinung: 29.09.2020

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