Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
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...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2020, 2020
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Edition: | 1st ed. 2020 |
Series: | Emerging Topics in Statistics and Biostatistics
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction to Binary Regression Models
- 2. Generalized Estimating Equations Binary Models
- 3. Lai and Small Models for Time-Dependent Covariates
- 4. Lalonde, wilson, and Yin Models for Time-Dependent Covariates
- 5. Irimata, Broatch, and Wilson Models for Time-Dependent Covariates
- 6. Bayesian GMM to IBW Method of Analysis
- 7. Models for Joint Responses for Time-Dependent Covariates
- 8. Other Models for Time-Dependent Covariates