Once an estimating equation is set up, the issue is to obtain the estimates of the regression parameters. The issue will be discussed in section four. The ...

This page looks specifically at generalized estimating equations (GEE) for repeated measures analysis and compares GEE to other methods of repeated measures.

May 30, 2008 · The purpose of this article is to approach data from clustered samples with non-ignorable non-responses using generalized estimating equations.

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In this paper we show how standard regression methods can be used, even in the presence of time-dependent confounding, to estimate the total effect of an ...

Jan 19, 2021 · I am looking at the predictors of a condition which was repeatedly measured at 3 timelines (0, 3, and 6 months).

Since the data has a binary repeated measures response, generalized estimating equations (GEE) in a logistic regression setting is a good way to model the data.

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Oct 11, 2024 · We provide an introduction to clustered or multilevel data and describe how GEE models or multilevel models can be used for the analysis of multilevel data.

The generalized estimating equation (GEE) approach of Zeger and Liang facili- tates analysis of data collected in longitudinal, nested, or repeated measures ...