Weighting methods for population-based case-control studies with complex sampling
Weighting methods for population-based case-control studies with complex sampling
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DOI：
10.1111/j.1467-9876.2010.00731.x
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发表时间：
2011-01-01
影响因子：
1.6
通讯作者：
DiGaetano, Ralph
中科院分区：
文献类型：
--
作者：
Li, Yan;Graubard, Barry I.;DiGaetano, Ralph
复杂的样本设计，包括分层和/或多级抽样、样本加权以及沿着频率匹配，用于选择病例对照研究的对照或病例。激发这篇论文的例子是在西西里进行的卡波西肉瘤病例对照研究和美国肾癌病例对照研究。基于调查设计的方法可能是低效的频率匹配的病例对照研究的分析。我们提出了一种加权方法，后分层控制样本的权重，估计人口分布的匹配变量的情况下。该加权保持频率匹配的效率。所提出的方法进行了评估，通过使用模拟研究，并适用于两个病例对照研究。
Complex sample designs, involving stratified and/or multistage sampling with sample weighting, along with frequency matching, are used to select controls or cases for case-control studies. Examples that motivated this paper are the Kaposi sarcoma case-control study that was conducted in Sicily and the US kidney cancer case-control study. Survey design-based approaches can be inefficient for the analysis of case-control studies with frequency matching. We propose a weighting method that post-stratifies control sample weights to the estimated population distribution of the matching variables among cases. This weighting maintains the efficiency of frequency matching. The method proposed is evaluated by using simulation studies and is applied to the two case-control studies.