Principles for modeling propensity scores in medical research: a systematic literature review

被引:271
作者
Weitzen, S
Lapane, KL
Toledano, AY
Hume, AL
Mor, V
机构
[1] Brown Univ, Sch Med, Dept Community Hlth, Providence, RI 02912 USA
[2] Brown Med Sch, Ctr Gerontol & Hlth Care Res, Providence, RI 02912 USA
[3] Brown Med Sch, Ctr Stat Sci, Providence, RI 02912 USA
[4] Univ Rhode Isl, Dept Pharm Practice, Kingston, RI 02881 USA
[5] Brown Med Sch, Dept Family Med, Providence, RI 02912 USA
关键词
propensity score; logistic regression; observational studies; confounding; bias; methods;
D O I
10.1002/pds.969
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose To document which established criteria for logistic regression modeling researchers consider when using propensity scores in observational studies. Methods We performed a systematic review searching Medline and Science Citation to identify observational studies published in 2001 that addressed clinical questions using propensity score methods to adjust for treatment assignment. We abstracted aspects of propensity score model development (e.g. variable selection criteria, continuous variables included in correct functional form, interaction inclusion criteria), model discrimination and goodness of fit for 47 studies meeting inclusion criteria. Results We found few studies reporting on the propensity score model development or evaluation of model fit. Conclusions Reporting of aspects related to propensity score model development is limited and raises questions about the value of these principles in developing propensity scores from which unbiased treatment effects are estimated. Copyright (C) 2004 John Wiley Sons, Ltd.
引用
收藏
页码:841 / 853
页数:13
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