Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation

PRACTICE OF EPIDEMIOLOGY Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation

1 Department of Epidemiology and Biostatistics, Faculty of Medicine, McGill University, Montreal, Quebec, Canada. 2 Division of Clinical Epidemiology, Royal Victoria Hospital, Montreal, Quebec, Canada. 3 Division of Epidemiology and Biostatistics, Department of Epidemiology and Social Medicine, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY. 4 Department of Family Medicine...

Statistical analysis of correlated data using generalized estimating equations: an orientation.

The method of generalized estimating equations (GEE) is often used to analyze longitudinal and other correlated response data, particularly if responses are binary. However, few descriptions of the method are accessible to epidemiologists. In this paper, the authors use small worked examples and one real data set, involving both binary and quantitative response data, to help end-users appreciat...

Using Generalized Estimating Equations for Longitudinal Data Analysis

The generalized estimating equation (GEE) approach of Zeger and Liang facilitates analysis of data collected in longitudinal, nested, or repeated measures designs. GEEs use the generalized linear model to estimate more efficient and unbiased regression parameters relative to ordinary least squares regression in part because they permit specification of a working correlation matrix that accounts...

Penalized generalized estimating equations for high-dimensional longitudinal data analysis.

We consider the penalized generalized estimating equations (GEEs) for analyzing longitudinal data with high-dimensional covariates, which often arise in microarray experiments and large-scale health studies. Existing high-dimensional regression procedures often assume independent data and rely on the likelihood function. Construction of a feasible joint likelihood function for high-dimensional ...

Semiparametri Regression For Clustered Data Using Generalized Estimating Equations