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American Journal of Epidemiology Vol. 126, No. 5: 972-979
Copyright © 1987 by The Johns Hopkins University School of Hygiene and Public Health

research-article

STATISTICAL METHODOLOGY FOR PAIRED CLUSTER DESIGNS1

ALLAN DONNER

Reprint requests to Dr. Allan Donner

Recently developed methodology is applied to the analysis of data arising from a design in which an experimental intervention is assigned at random to one of two clusters in a matched pair. Standard statistical techniques do not apply to such data, since they do not take to account variation arising from differences among clusters as well as within clusters. The methodology presented provides a significance test over k pairs of clusters with respect to a dichotomous outcome variable while controlling for confounding. The investigation of interaction effects is also discussed.

clustering; statistics

1 From the Department of Epidemiology and Bio statistics, University of Western Ontario, London, Ontario, N6A 5C1


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