Regier Michael D, Moodie Erica E M, Platt Robert W
Int J Biostat. 2014;10(1):1-15. doi: 10.1515/ijb-2012-0039.
We performed an empirical study to evaluate the effect of mismeasured continuous confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weighting. By executing an extensive simulation using 500 randomly generated parameter value combinations within a defined space, we observed the well-understood effects of attenuation and augmentation, and two unanticipated effects: null effects and sign reversals. We implemented a secondary empirical study to further investigate the sign reversal effect. We use the results of our study to identify conceptual similarities between the analytic and empirical results for multivariable linear and logistic regression, and our empirical results. Through this synthesis, we have been able to suggest feasible directions of research as well as outline the form of expected results.
我们进行了一项实证研究，以评估在使用边际结构模型和治疗逆概率加权时，连续混杂因素测量错误对因果参数估计的影响。通过在定义的空间内使用500个随机生成的参数值组合进行广泛的模拟，我们观察到了众所周知的衰减和增强效应，以及两个意外效应：零效应和符号反转。我们进行了一项二次实证研究，以进一步调查符号反转效应。我们利用研究结果来识别多变量线性和逻辑回归的分析结果与实证结果之间的概念相似性，以及我们的实证结果。通过这种综合，我们能够提出可行的研究方向，并概述预期结果的形式。
