Propensity score matching and complex surveys

• Published in: Statistical methods in medical research Vol. 27; no. 4; pp. 1240 - 1257
• Main Authors: Austin, Peter C, Jembere, Nathaniel, Chiu, Maria
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.04.2018
• Subjects: survey; propensity score matching; Propensity score; Monte Carlo simulations

Researchers are increasingly using complex population-based sample surveys to estimate the effects of treatments, exposures and interventions. In such analyses, statistical methods are essential to minimize the effect of confounding due to measured covariates, as treated subjects frequently differ f...