Suppr超能文献

存在混杂中间变量时自然直接效应的界限

Bounds on natural direct effects in the presence of confounded intermediate variables.

作者信息

Sjölander Arvid

机构信息

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm Nobels väg 12, 171 77 Stockholm, Sweden.

出版信息

Stat Med. 2009 Feb 15;28(4):558-71. doi: 10.1002/sim.3493.

Abstract

In epidemiological studies we often want to learn about the direct effect of an exposure on an outcome, i.e. the effect that is not relayed by a specific intermediate variable. In the literature, there are two common definitions of direct effects; controlled and natural. When the intermediate variable and the outcome have common causes, neither the controlled nor the natural direct effect is identified. Cai et al. (Biometrics 2007; 64(3):695-701) derived bounds for the controlled direct effect under a set of hierarchical assumptions. In this paper we derive bounds on the natural direct effect under the same assumptions.

摘要

在流行病学研究中,我们常常希望了解暴露因素对结局的直接效应,即不由特定中间变量传递的效应。在文献中,直接效应有两种常见定义:受控直接效应和自然直接效应。当中间变量和结局存在共同原因时,受控直接效应和自然直接效应均无法识别。蔡等人(《生物统计学》2007年;64(3):695 - 701)在一组分层假设下推导了受控直接效应的界值。在本文中,我们在相同假设下推导了自然直接效应的界值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验