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Activity Number: 300 - SPEED: Statistical Epidemiology
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 8:30 AM to 10:20 PM
Sponsor: Section on Teaching of Statistics in the Health Sciences
Abstract #329872 Presentation
Title: A Comparison of Some Propensity Score Methods
Author(s): Yuping Wu* and Amgad Mohammed Alajlan
Companies: Cleveland State University and Cleveland State University
Keywords: Propensity score
Abstract:

Propensity score methods are increasingly being used to improve covariate balance by decreasing the impact of treatment selection bias when estimating causal treatment effects. Various approaches exist with a different associated ability for balancing treatment groups. This study compares the performance of four propensity score methods with two different propensity score estimation methods (logistic regression and boosted regression) in an observational study of the effects of right heart cauterization (RHC) on survival time. Balance in the observed covariates between treated and untreated subjects was assessed using absolute standardized bias. The results suggest that boosted regression in combination with propensity score weighting outperforms other methods.


Authors who are presenting talks have a * after their name.

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