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Updated: Jan 29, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
[Propensity Score Methods to Estimate Treatment Effects: An Opportunity for Rehabilitation Service Research]
David Fauser1, Matthias Bethge1
1Institut für Sozialmedizin und Epidemiologie, Sektion Rehabilitation und Arbeit, Universität zu Lübeck.
Abstract:
The randomized controlled trial is the gold standard to validate the efficacy of an intervention. Randomized treatment assignment in intervention and control group independent of patient characteristics or previous measures of patient care allows one to estimate unbiased treatment effects. Differences in outcomes can be attributed causally to the treatment. In observational studies treatment assignment is not randomized in intervention and control group. Instead, the assignment is influenced by patient characteristics. This could lead to biased estimates of treatment effects. Statistical approaches based on the propensity score take into account the group differences in observational data. The propensity score is the probability of treatment assignment conditional on observed variables. By means of propensity-score-matching balanced samples of treated and control subjects can be formed. To express treatment effects, the same statistical approaches can be used as those in randomized controlled trials.
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