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Commentary: Balancing automated procedures for confounding control with background knowledge.

作者信息

Wyss Richard, Stürmer Til

机构信息

Department of Epidemiology, UNC Gillings School of Global Public Health University of North Carolina at Chapel Hill, Chapel Hill, NC.

出版信息

Epidemiology. 2014 Mar;25(2):279-81. doi: 10.1097/EDE.0000000000000068.

DOI:10.1097/EDE.0000000000000068
PMID:24487210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4110964/
Abstract
摘要

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本文引用的文献

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Comment on ‘Causal inference, probability theory, and graphical insights’ by Stuart G. Baker.对斯图尔特·G·贝克所著《因果推断、概率论与图形洞察》的评论
Stat Med. 2013 Nov 10;32(25):4331-3. doi: 10.1002/sim.5901.
2
Studies with many covariates and few outcomes: selecting covariates and implementing propensity-score-based confounding adjustments.具有众多协变量和较少结局的研究：选择协变量并实施基于倾向评分的混杂调整。
Epidemiology. 2014 Mar;25(2):268-78. doi: 10.1097/EDE.0000000000000069.
3
Implications of M bias in epidemiologic studies: a simulation study.流行病学研究中 M 偏倚的意义：一项模拟研究。
Am J Epidemiol. 2012 Nov 15;176(10):938-48. doi: 10.1093/aje/kws165. Epub 2012 Oct 25.
4
Using high-dimensional propensity scores to automate confounding control in a distributed medical product safety surveillance system.利用高维倾向评分在分布式医疗产品安全监测系统中实现混杂控制的自动化。
Pharmacoepidemiol Drug Saf. 2012 Jan;21 Suppl 1:41-9. doi: 10.1002/pds.2328.
5
Invited commentary: understanding bias amplification.特邀评论：理解偏差放大。
Am J Epidemiol. 2011 Dec 1;174(11):1223-7; discussion pg 1228-9. doi: 10.1093/aje/kwr352. Epub 2011 Oct 27.
6
Effects of adjusting for instrumental variables on bias and precision of effect estimates.调整工具变量对效应估计偏差和精度的影响。
Am J Epidemiol. 2011 Dec 1;174(11):1213-22. doi: 10.1093/aje/kwr364. Epub 2011 Oct 24.
7
Re: Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records.回复：通过半自动高维倾向评分算法进行混杂因素调整：在电子病历中的应用
Pharmacoepidemiol Drug Saf. 2011 Oct;20(10):1110-1; author reply 1112. doi: 10.1002/pds.2238.
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Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records.通过半自动化高维倾向评分算法进行混杂调整：在电子病历中的应用。
Pharmacoepidemiol Drug Saf. 2011 Aug;20(8):849-57. doi: 10.1002/pds.2152. Epub 2011 Jun 30.
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Am J Epidemiol. 2011 Jun 15;173(12):1404-13. doi: 10.1093/aje/kwr001. Epub 2011 May 20.
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The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration.倾向评分变量选择策略在药物流行病学中的意义：实证说明。
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