Related Experiment Video
Updated: Aug 22, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Principles for modeling propensity scores in medical research: a systematic literature review
Sherry Weitzen1, Kate L Lapane, Alicia Y Toledano
1Department of Community Health, Brown Medical School, Providence, RI 02912, USA. Sherry_Weitzen@Brown.edu
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.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Analysis of Population Pharmacokinetic Data
Mechanistic Models: Overview of Compartment Models
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Kaplan-Meier Approach