Intra-class correlation in random-effects models for binary data

被引：141
|
作者：
Rodriguez, German [1 ]
Elo, Irma [2 ]
机构：
[1] Princeton Univ, Generalized Linear Models, Princeton, NJ 08544 USA
[2] Univ Penn, Sociol, Philadelphia, PA 19104 USA
来源：
STATA JOURNAL | 2003年 / 3卷 / 01期
关键词：
st0031; intra-class correlation; random-effects; probit; logit; complementary log-log; Pearson's r; Yule's Q;
D O I：
10.1177/1536867X0300300102
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
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.
引用
收藏
页码：32 / 46
页数：15
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