Analysis of matched cohort data

被引：79

作者：

Cummings, Peter ^{[1
]}

McKnight, Barbara ^{[2
]}

机构：

[1] Univ Washington, Sch Publ Hlth & Community Med, Dept Epidemiol, Seattle, WA 98195 USA

[2] Univ Washington, Sch Publ Hlth & Community Med, Dept Biostat, Seattle, WA 98195 USA

来源：

STATA JOURNAL | 2004年 / 4卷 / 03期

关键词：

st0070; csmatch; cohort study; conditional Poisson regression; matching; matched-pair; matched cohort study; risk ratio; odds ratio;

D O I：

10.1177/1536867X0400400305

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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.

引用

页码：274 / 281

页数：8

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