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

• Published in: Pharmacoepidemiology and drug safety Vol. 13; no. 12; pp. 841 - 853
• Main Authors: Weitzen, Sherry, Lapane, Kate L., Toledano, Alicia Y., Hume, Anne L., Mor, Vincent
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.12.2004
• Subjects: Bias; Biomedical Research - statistics & numerical data; confounding; Logistic Models; logistic regression; methods; Models, Statistical; observational studies; propensity score; Research Design - standards
• ISSN: 1053-8569; 1099-1557
• DOI: 10.1002/pds.969

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 ed 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 © 2004 John Wiley & Sons, Ltd.