论文标题
用病例对照采样的调解分析：存在二进制介体的识别和估计
Mediation analysis with case-control sampling: Identification and estimation in the presence of a binary mediator
论文作者
论文摘要
关于基于主要兴趣的二进制变量的分层案例对照程序，我们在次级变量的逻辑模型的参数上得出了由采样设计引起的失真的表达。在进行调解分析（可能是在因果框架中），在结果和调解人都是二进制的设置中，这尤其重要。我们的识别结果为M估计和最大似然估计开辟了道路。然后，我们进行了一项模拟研究，显示了结果和中介模型参数的估计效率的提高。基于加权的现有方法。例如，我们重新分析了德国的病例对照数据集，以研究免疫能力降低对李斯特氏病发作的影响是否是由胃酸抑制剂的摄入介导的。
With reference to a stratified case-control procedure based on a binary variable of primary interest, we derive the expression of the distortion induced by the sampling design on the parameters of the logistic model of a secondary variable. This is particularly relevant when performing mediation analysis (possibly in a causal framework) with stratified case-control data in settings where both the outcome and the mediator are binary. Our identification result opens the way to M-estimation and Maximum Likelihood estimation. We then conduct a simulation study showing the gain in efficiency of the estimators of both the outcome and mediator model parameters w.r. to existing methods, based on weighting. As an illustrative example, we reanalyze a German case-control dataset in order to investigate whether the effect of reduced immunocompetency on listeriosis onset is mediated by the intake of gastric acid suppressors.
