Methods for analyzing multivariate binary data, with association between outcomes of interest

被引：10
|
作者：
Molenberghs, G [1 ]
Ritter, LL [1 ]
机构：
[1] INT INST DRUG DEV,B-1050 BRUSSELS,BELGIUM
来源：
BIOMETRICS | 1996年 / 52卷 / 03期
关键词：
binary data; categorical data; Fisher scoring algorithm; generalized estimating equations; likelihood function; maximum likelihood estimation; odds ratio;
D O I：
10.2307/2533074
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
A likelihood based method is proposed for multivariate categorical data. It is assumed that, together with the marginal outcomes, the set of pairwise associations between outcomes is of scientific interest. The focus is on binary outcomes and it is indicated how the proposed method generalizes to categorical outcomes. A connection with second-order generalized estimating equations (GEE2) is established. The method is applied to analyze data from a developmental toxicity study.
引用
收藏
页码：1121 / 1133
页数：13
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