文章基本信息

标题：Intra-class correlation in random-effects models for binary data
本地全文：下载
作者：Rodriguez, German ; Elo, Irma
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2002
期号：SUPPL
页码：32-46
出版社：Food Distribution Research Society
摘要：We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata’s xtprobit, xtlogit, and xtclog. We consider the usual measures of correlation based on a latent variable formulation of these models and note corrections to the last two procedures. We also discuss alternative measures of association based on manifest variables or actual outcomes and introduce a new command xtrho for computing these measures for all three types of models.
关键词：intra-class correlation;random-effects;probit;logit;complementary log-log;Pearson's r;Yule's Q