The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies

• Published in: Statistics in medicine Vol. 29; no. 20; pp. 2137 - 2148
• Main Author: Austin, Peter C.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 10.09.2010; Wiley Subscription Services, Inc
• Subjects: Adrenergic beta-Antagonists - therapeutic use; Analysis of Variance; Bias; binary data; Biostatistics; Clinical outcomes; Confidence Intervals; Databases, Factual; Differences; Heart Failure - drug therapy; Heart Failure - mortality; Humans; inverse probability of treatment weighting; IPTW; matching; Medical statistics; Models, Statistical; Monte Carlo Method; Monte Carlo simulation; number needed to treat; observational study; Odds Ratio; Propensity Score; propensity-score matching; Risk; Risk assessment; risk difference

Propensity score methods are increasingly being used to estimate the effects of treatments on health outcomes using observational data. There are four methods for using the propensity score to estimate treatment effects: covariate adjustment using the propensity score, stratification on the propensi...