Matched cohort methods for injury research
Matched cohort methods for injury research
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DOI：
10.1093/epirev/mxg002
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发表时间：
2003-01-01
影响因子：
5.5
通讯作者：
Greenland, S
中科院分区：
文献类型：
--
作者：
Cummings, P;McKnight, B;Greenland, S
本文综述了设计和分析的匹配队列研究的伤害，暴露的研究对象是匹配的其他没有暴露。我们关注的是这样一种情况，即至少有一名成员有研究结果的配对组的数据是可用的，但没有成员有研究结果的配对组的数据是缺失或不完整的。这使对照的暴露状态扭曲为类似于关于匹配变量（并且可能还有其他变量）的情况（1）。因此，所选对照可能不代表病例来源的整个人群的暴露经验。因此，匹配是病例对照研究中选择偏倚的一个来源。它产生的偏差可以在分析中通过考虑匹配来消除，因为在匹配变量值的条件下，对照将代表源人群。
This article reviews the design and analysis of matched cohort studies of injuries where exposed study subjects are matched to others not exposed. We focus on the situation in which data are available for the matched groups with at least one member who had the study outcome, but data are absent or incomplete for matched groups that have no members with the outcome.When matching is done in a case-control study, those with the outcome are matched to those without the outcome on certain confounder measures; this distorts the exposure status of the controls to be like that of the cases in regard to the matching variables (and perhaps other variables as well)(1). As a consequence, the selected controls may not represent the exposure experience of the entire population from which the cases were derived. Therefore, matching is a source of selection bias in a case-control study. The bias it produces can be removed in the analysis by accounting for the matching since, conditional on the values of the matching variables, controls will be representative of the source population.