Uncovering selection bias in case-control studies using Bayesian post-stratification.
Uncovering selection bias in case-control studies using Bayesian post-stratification.
复制标题
使用贝叶斯后分层揭示病例对照研究中的选择偏差。
DOI：
10.1002/sim.5722
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发表时间：
2013
影响因子：
2
通讯作者：
Geneletti S
中科院分区：
文献类型：
--
作者：
Geneletti S
病例对照研究特别容易出现选择偏倚，这会影响比值比的估计。文献中已经提出了使用图形和启发式工具以及更复杂的统计方法来发现和调整选择偏差的方法。我们提出的方法是基于一个调查加权方法称为贝叶斯后分层，并遵循条件独立性，消除选择偏差。我们使用我们的方法进行选择偏倚敏感性分析，方法是使用描述目标病例对照人群的辅助数据源对研究中获得的比值比估计值进行重新加权。该方法适用于两个病例对照研究，第一个调查暴露于电磁场和急性淋巴细胞白血病的儿童和第二个调查母亲职业暴露于发胶和先天性异常的男性婴儿称为尿道下裂之间的关联。在这两个病例对照研究中，我们的方法表明，优势比只有中度敏感的选择偏差。版权所有© 2013约翰威利父子有限公司.
Case–control studies are particularly prone to selection bias, which can affect odds ratio estimation. Approaches to discovering and adjusting for selection bias have been proposed in the literature using graphical and heuristic tools as well as more complex statistical methods. The approach we propose is based on a survey‐weighting method termed Bayesian post‐stratification and follows from the conditional independences that characterise selection bias. We use our approach to perform a selection bias sensitivity analysis by using ancillary data sources that describe the target case–control population to re‐weight the odds ratio estimates obtained from the study. The method is applied to two case–control studies, the first investigating the association between exposure to electromagnetic fields and acute lymphoblastic leukaemia in children and the second investigating the association between maternal occupational exposure to hairspray and a congenital anomaly in male babies called hypospadias. In both case–control studies, our method showed that the odds ratios were only moderately sensitive to selection bias. Copyright © 2013 John Wiley & Sons, Ltd.