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An easy approach to the Robins-Breslow-Greenland variance estimator

机译:Robins-Breslow-Greenland方差估计器的简单方法

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The Mantel-Haenszel estimate for the odds ratio (and its logarithm) in stratified case control studies lacked a generally acceptable variance estimate for many years. The Robins-Breslow-Greenland estimate has met this need, but standard textbooks still do not provide an explanation of how it is derived. This article provides an accessible derivation which demonstrates the link between the Robins-Breslow-Greenland estimate and the familiar Woolf estimate for the variance of the log odds ratio, and which could easily be included in Masters level courses in epidemiology. The relationships to the unconditional and conditional maximum likelihood estimates are also reviewed.
机译:在分层病例对照研究中,Mantel-Haenszel对比值比(及其对数)的估计多年来缺乏普遍可接受的方差估计。 Robins-Breslow-Greenland的估算值已经满足了这一需求,但是标准教科书仍未解释其推导方式。本文提供了一个易于获取的推论,该推论证明了Robins-Breslow-Greenland估计与熟悉的Woolf估计之间的对数优势比方差之间的联系,并且可以轻松地将其包含在流行病学的硕士学位课程中。还审查了与无条件和条件最大似然估计的关系。

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