articleMultivariate Behavioral ResearchMay 31, 2011BRONZE OA

An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

University of Toronto · Institute for Clinical Evaluative Sciences

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Abstract

The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the particular characteristics of a randomized controlled trial. In particular, the propensity score is a balancing score: conditional on the propensity score, the distribution of observed baseline covariates will be similar between treated and untreated subjects. I describe 4 different propensity score methods: matching on the propensity score, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, and covariate adjustment…

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Topics & keywords

Keywords
  • Propensity score matching
  • Observational study
  • Covariate
  • Confounding
  • Statistics
  • Inverse probability weighting
  • Econometrics
  • Mathematics
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