Analysis of matched cohort data

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dc.creatorCummings, Peter
dc.creatorMcKnight, Barbara
dc.date2017-04-01T20:16:56Z
dc.date.accessioned2026-07-09T05:47:51Z
dc.descriptionMatching 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.
dc.identifierOther:st0070
dc.identifierdoi:10.22004/ag.econ.116248
dc.identifierhttps://ageconsearch.umn.edu/record/116248/files/sjart_st0070.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/116248
dc.identifier.urihttp://hdl.handle.net/123456789/568494
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/116248
dc.titleAnalysis of matched cohort data
dc.typeText

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University of Minnesota