Mansournia Mohammad Ali, Poole Charles
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, PO Box, Tehran, 14155-6446, Iran.
Department of Epidemiology, University of North Carolina, 244 Cassidy Lane, Chapel Hill, NC, 27516, USA.
Eur J Epidemiol. 2023 Oct;38(10):1025-1034. doi: 10.1007/s10654-023-01046-9. Epub 2023 Sep 14.
Matching by a confounder in a case-control study nearly always produces a control-selection bias that mixes with the confounding to produce a net bias. Previous theoretical work has assumed that control for a single confounder, the matching factor, is sufficient to remove all the confounding and that the confounder-exposure, confounder-outcome and exposure-outcome associations are monotonic. Under these conditions: (a) The net bias is toward the null if the exposure affects the outcome and nil if it does not. (b) If the confounding is away from the null, the selection bias is toward the null. (c) If the confounding is toward the null, the selection bias can be in any direction or even nil. If more than one confounder needs to be controlled to remove all the confounding, the net bias from matching by one of them can be away from the null, whether the exposure affects the outcome or not. An influential heuristic, that matching controls to cases by a variable associated with exposure always brings the marginal exposure distributions of the case and control groups closer together, turns out to be faulty. The implications of matching by confounders in case-control studies are less straightforward than previously thought. Suggestions are offered for advancing the methodologic literature on this topic.
在病例对照研究中通过混杂因素进行匹配几乎总会产生一种对照选择偏倚,这种偏倚会与混杂作用相混合,从而产生净偏倚。以往的理论研究假定,对单一混杂因素(匹配因素)进行控制就足以消除所有混杂作用,并且混杂因素 - 暴露、混杂因素 - 结局以及暴露 - 结局之间的关联是单调的。在这些条件下:(a) 如果暴露影响结局,净偏倚趋向于无效值;如果不影响,则净偏倚为零。(b) 如果混杂作用偏离无效值,选择偏倚趋向于无效值。(c) 如果混杂作用趋向于无效值,选择偏倚可能朝任何方向,甚至为零。如果需要控制多个混杂因素才能消除所有混杂作用,那么无论暴露是否影响结局,通过其中一个混杂因素进行匹配产生的净偏倚都可能偏离无效值。一种有影响力的经验法则,即通过与暴露相关的变量将对照与病例进行匹配总能使病例组和对照组的边际暴露分布更接近,结果证明是错误的。病例对照研究中通过混杂因素进行匹配的影响比之前认为的要复杂。本文针对推进该主题的方法学文献提出了一些建议。