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队列研究病例对照分析中对照的偏倚选择。

Biased selection of controls for case-control analyses of cohort studies.

作者信息

Lubin J H, Gail M H

出版信息

Biometrics. 1984 Mar;40(1):63-75.

PMID:6375751
Abstract

It is known that unbiased estimates of the relative risk in a cohort study may be obtained by a matched case-control analysis that compares each case with a random sample of controls obtained from those at risk at the time of case incidence. Through inadvertence , or for practical or scientific reasons, a biased referent group may be selected instead. Three kinds of biasing restrictions on controls are commonly imposed: (i) the requirement that controls remain completely disease-free for a fixed time interval, (ii) the exclusion of all cases incident during observation as controls, and (iii) the exclusion, from the referent group, of subjects who develop other diseases, which may be related to the exposure of interest. The bias in estimation of the relative risk associated with each of these restrictions is evaluated under the proportional-hazards model. For several examples of cancer mortality data, the bias from (iii) appears quite small, whereas the bias from (i) can be appreciable and is mostly attributable to the bias from case exclusion (ii). The effect of random variation in the time of onset of exposure is to reduce these biases.

摘要

众所周知,队列研究中相对风险的无偏估计可通过匹配病例对照分析获得,该分析将每个病例与在病例发生时从有风险人群中随机抽取的对照样本进行比较。然而,由于疏忽,或者出于实际或科学原因,可能会选择一个有偏倚的参照组。对对照通常会施加三种有偏倚的限制:(i)要求对照在固定时间间隔内完全无病;(ii)将观察期间发生的所有病例排除在对照之外;(iii)从参照组中排除患其他疾病的受试者,这些疾病可能与感兴趣的暴露因素有关。在比例风险模型下评估与这些限制中的每一种相关的相对风险估计中的偏差。对于几个癌症死亡率数据的例子,(iii)造成的偏差似乎相当小,而(i)造成的偏差可能相当大,且主要归因于病例排除(ii)造成的偏差。暴露开始时间的随机变化的作用是减少这些偏差。

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