Analysis of matched cohort data
Peter Cummings
School of Public Health and Community Medicine
University of Washington
Seattle, WA
[email protected]
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Barbara McKnight
School of Public Health and Community Medicine
University of Washington
Seattle, WA
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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.
View all articles by these authors:
Peter Cummings, Barbara McKnight
View all articles with these keywords:
csmatch, cohort study, conditional Poisson regression, matching, matched-pair, matched cohort study, risk ratio, odds ratio
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