A simple method for the analysis of clustered binary data

Rao, JNK; Scott, AJ

HERO ID

1311674

Reference Type

Journal Article

Year

1992

Language

English

PMID

1637980

HERO ID 1311674
In Press No
Year 1992
Title A simple method for the analysis of clustered binary data
Authors Rao, JNK; Scott, AJ
Journal Biometrics
Volume 48
Issue 2
Page Numbers 577-585
Abstract A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used in sample surveys, and assumes no specific models for the intracluster correlations. It can be implemented using any standard computer program for the analysis of independent binary data after a small amount of preprocessing. The method is applied to a variety of problems involving clustered binary data: testing homogeneity of proportions, estimating dose-response models and testing for trend in proportions, and performing the Mantel-Haenszel chi-squared test for independence in a series of 2 x 2 tables and estimating the common odds ratio and its variance. Illustrative applications of the method are also presented.
Doi 10.2307/2532311
Pmid 1637980
Wosid WOS:A1992HY93800017
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English