Use of Propensity Score and Disease Risk Score for Multiple Treatments with Time-To-Event Outcome

• Activity Number: 359 - Contributed Poster Presentations: Biopharmacutical Section
• Type: Contributed
• Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
• Sponsor: Biopharmaceutical Section
• Author(s): DI ZHANG and Jessica Kim*
• Companies: University of Pittsburgh and Division of Biometrics VII/Office of Biostatistics/CDER, FDA
• Keywords: propensity score; disease risk score; time-to-event outcome; multinomial logit model; inverse probability treatment weigh; matching

Abstract

Propensity score and disease risk score are often used in pharmacoepidemiologic safety studies. Methods of applying these two balancing scores were extensively studied in binary treatment settings. However, the use of propensity score and disease risk score is not well understood in the case of non-ordinal multiple treatments. Some propensity score methods of multiple treatments have been implemented since the theoretical establishment. Nevertheless, most of the work applies to continuous or binary outcomes. Little work has been done for time-to-event outcomes. We extended the application of the propensity score and disease risk score methods to time-to-event outcomes in multiple treatment settings. The analytical approaches investigated include weighting, matching, stratification and regression. Several simulation studies were conducted to evaluate the performances of different methods. We concluded that the inverse probability treatment weighting method of propensity scores has overall superior performance compared to the other methods. Our study aims to provide additional guidance for researchers on propensity score and disease risk score analyses in observational studies.