<p></p><p>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 pr
Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
โ Scribed by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen
- Publisher
- Springer International Publishing;Springer
- Year
- 2020
- Tongue
- English
- Leaves
- 182
- Series
- Emerging Topics in Statistics and Biostatistics
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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. โ
โฆ Table of Contents
Front Matter ....Pages i-xxiii
Review of Estimators for Regression Models (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 1-30
Generalized Estimating Equation and Generalized Linear Mixed Models (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 31-48
GMM Marginal Regression Models for Correlated Data with Grouped Moments (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 49-66
GMM Regression Models for Correlated Data with Unit Moments (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 67-81
Partitioned GMMLogistic Regression Models for Longitudinal Data (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 83-98
Partitioned GMM for Correlated Data with Bayesian Intervals (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 99-115
Simultaneous Modeling with Time-Dependent Covariates and Bayesian Intervals (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 117-135
A Two-Part GMM Model for Impact and Feedback for Time-Dependent Covariates (Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen)....Pages 137-155
Back Matter ....Pages 157-166
โฆ Subjects
Statistics; Statistics for Life Sciences, Medicine, Health Sciences; Biostatistics; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistical Theory and Methods; Health Care Management; Public Health
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