Criterion for the Selection of a Working Correlation Structure in the Generalized Estimating Equation Approach for Longitudinal Balanced Data

2011 ◽  
Vol 40 (21) ◽  
pp. 3839-3856 ◽  
Author(s):  
Masahiko Gosho ◽  
Chikuma Hamada ◽  
Isao Yoshimura
Keyword(s):  
Estimating Equation ◽  
Correlation Structure ◽  
Generalized Estimating Equation ◽  
Equation Approach ◽  
Working Correlation ◽  
Selection Of ◽  
Generalized Estimating

scholarly journals Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Ming Wang
Keyword(s):  
Data Analysis ◽  
Estimating Equation ◽  
Marginal Model ◽  
Generalized Estimating Equation ◽  
Power Calculation ◽  
Recent Developments ◽  
Informative Cluster Size ◽  
Working Correlation ◽  
Selection Of ◽  
Generalized Estimating

Generalized Estimating Equation (GEE) is a marginal model popularly applied for longitudinal/clustered data analysis in clinical trials or biomedical studies. We provide a systematic review on GEE including basic concepts as well as several recent developments due to practical challenges in real applications. The topics including the selection of “working” correlation structure, sample size and power calculation, and the issue of informative cluster size are covered because these aspects play important roles in GEE utilization and its statistical inference. A brief summary and discussion of potential research interests regarding GEE are provided in the end.

Models for Longitudinal Data: A Generalized Estimating Equation Approach

Biometrics ◽  
1988 ◽  
Vol 44 (4) ◽  
pp. 1049 ◽  
Author(s):  
Scott L. Zeger ◽  
Kung-Yee Liang ◽  
Paul S. Albert
Keyword(s):  
Longitudinal Data ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Equation Approach ◽  
Generalized Estimating
Sign in / Sign up

Export Citation Format

Share Document