A comparison of goodness of fit tests for the logistic GEE model

被引:39
作者
Evans, S [1 ]
Li, LL [1 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Ctr Biostat AIDS Res, Boston, MA 02115 USA
关键词
goodness of fit; GEE; clustered binary data; logistic regression; type I error; power;
D O I
10.1002/sim.2023
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Generalized estimating equations have become a popular regression method for analysing clustered binary data. Methods to assess the goodness of fit of the fitted models have recently been developed. However, evaluations and comparisons of these methods are limited. We discuss these methods and develop two additional statistics to evaluate goodness of fit. We evaluate the performance of each of the statistics with respect to type I error rates and power in a simulation study. Guidance is provided regarding appropriate use of the statistics under various scenarios. Copyright (c) 2004 John Wiley & Sons, Ltd.
引用
收藏
页码:1245 / 1261
页数:17
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