Analysis of matched cohort data

Peter Cummings and Barbara McKnight
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Peter Cummings: School of Public Health and Community Medicine, University of Washington, Seattle, WA
Barbara McKnight: School of Public Health and Community Medicine, University of Washington, Seattle, WA

Stata Journal, 2004, vol. 4, issue 3, 274-281

Abstract: Matching is occasionally used in cohort studies; examples include studies of twins and some studies of traffic crashes. Analysis of matched cohort data is not discussed in many textbooks or articles and is not mentioned in the Stata manuals. Risk ratios can be estimated using matched-pair cohort data with Stata's mcc command. We describe a new command, csmatch, which can produce these risk ratios and is often more convenient. We briefly review flexible regression methods that can estimate risk ratios in matched cohort data: conditional Poisson regression and some versions of Cox regression. Copyright 2004 by StataCorp LP.

Keywords: csmatch; cohort study; conditional Poisson regression; matching; matched-pair; matched cohort study; risk ratio; odds ratio (search for similar items in EconPapers)
Date: 2004
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