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在单调性假设下用于估计主要分层直接效应的边际结构模型。

Marginal structural models for estimating principal stratum direct effects under the monotonicity assumption.

作者信息

Chiba Yasutaka

机构信息

Division of Biostatistics, Clinical Research Center, Kinki University School of Medicine 377-2, Ohno-higashi, Osakasayama, Osaka 589-8511, Japan.

出版信息

Biom J. 2011 Nov;53(6):1025-34. doi: 10.1002/bimj.201100085. Epub 2011 Oct 21.

Abstract

In epidemiological and clinical research, investigators are frequently interested in estimating the direct effect of a treatment on an outcome that is not relayed by intermediate variables. In 2009, VanderWeele presented marginal structural models (MSMs) for estimating direct effects based on interventions on the mediator. This paper focuses on direct effects based on principal stratification, i.e. principal stratum direct effects (PSDEs), which are causal effects within latent subgroups of subjects where the mediator is constant, regardless of the exposure status. We propose MSMs for estimating PSDEs. We demonstrate that the PSDE can be estimated readily using MSMs under the monotonicity assumption.

摘要

在流行病学和临床研究中,研究者常常对估计一种治疗对不由中间变量传递的结局的直接效应感兴趣。2009年,范德维尔提出了基于对中介变量进行干预来估计直接效应的边际结构模型(MSMs)。本文关注基于主分层的直接效应,即主层直接效应(PSDEs),它是在中介变量恒定的潜在受试者亚组内的因果效应,而不论暴露状态如何。我们提出了用于估计PSDEs的边际结构模型。我们证明,在单调性假设下,使用边际结构模型可以很容易地估计PSDE。

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