Cover Image
Read Now

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...

Full description

Bibliographic Details
Main Authors: Wilson, Jeffrey R., Vazquez-Arreola, Elsa (Author), Chen, (Din) Ding-Geng (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Emerging Topics in Statistics and Biostatistics
Subjects:
Statistical Theory And Methods
Health Services Administration
Public Health
Statistics 
Biostatistics
Health Care Management
Statistics In Engineering, Physics, Computer Science, Chemistry And Earth Sciences
Biometry
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

Similar Items