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

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ID: 290827
2003
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Abstract
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 appreciate the essence of the method. The examples are simple enough to see the behind-the-scenes calculations and the essential role of weighted observations, and they allow nonstatisticians to imagine the calculations involved when the GEE method is applied to more complex multivariate data.
Reference Key
openalex_W2133959349 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors James A. Hanley, Abdissa Negassa, Michael D. de B. Edwardes, Janet Forrester
Journal american journal of epidemiology
Year 2003
DOI
10.1093/aje/kwf215
URL
https://academic.oup.com/aje/article-pdf/157/4/364/178333/kwf215.pdf
Keywords Keywords not found

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