Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes

• Published in: Statistical methods in medical research Vol. 29; no. 3; pp. 728 - 751
• Main Authors: Austin, Peter C, Thomas, Neal, Rubin, Donald B
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.03.2020
• Subjects: Bias; Humans; Monte Carlo Method; Propensity Score; Proportional Hazards Models; Survival Analysis; propensity score matching; Propensity score; Monte Carlo simulations; survival analysis; matching

Matching on an estimated propensity score is frequently used to estimate the effects of treatments from observational data. Since the 1970s, different authors have proposed methods to combine matching at the design stage with regression adjustment at the analysis stage when estimating treatment effe...