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Am J Epidemiol. 1989 Dec;130(6):1247-53.

Log-linear models for the analysis of matched cohort studies.

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1
Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06510.

Abstract

The application of conditional logistic regression to the analysis of matched case-control studies has now become quite customary. In addition, it is well known that software designed to fit linear logistic and log-linear models can be used in these analyses. The application of conditional logistic regression to cohort designs is described, and an approach is developed that adapts the linear logistic and log-linear models for the analysis of prospectively collected data. Specific situations discussed include matched pairs, 2:1 matching, and studies in which some subjects are pair matched and others matched 2:1. The methods are illustrated with numeric examples.

[Indexed for MEDLINE]

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