A model for repeated measurements of a multivariate binary response

被引:25
|
作者
Agresti, A [1 ]
机构
[1] UNIV LONDON LONDON SCH ECON & POLIT SCI,DEPT STAT,LONDON WC2A 2AE,ENGLAND
关键词
item response model; marginal homogeneity; matched pair; McNemar test; quasi-symmetry; Rasch model;
D O I
10.2307/2291476
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This article presents a legit model for a vector of binary variables observed for each subject under multiple conditions. The model contains a vector of random effects to account for correlations among the repeated measurements. A nonparametric treatment of the random effects implies a multivariate log-linear model having quasi-symmetric structure for the cross-classification of responses at the various conditions. The fit yields estimates of within-subject effects comparing the conditions for each variable. The estimates are identical to conditional maximum likelihood estimates for a fixed-effects version of the legit model. Extensions incorporate independent groups or allow variables to have multiple response categories.
引用
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页码:315 / 321
页数:7
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