JSM 2004 - Toronto

Abstract #301383

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Activity Number: 177
Type: Topic Contributed
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Health Policy Statistics
Abstract - #301383
Title: Propensity Score Matching with Time-dependent Covariates
Author(s): Bo Lu*+
Companies: Brown University
Address: 167 Angell St., Providence, RI, 02912,
Keywords: observational study ; proportional hazard model ; propensity score ; matching
Abstract:

In the observational study with a time-dependent treatment and time-dependent covariates, it is desirable to balance the distribution of the time-dependent covariates at every time point. A time-dependent propensity score based on Cox's proportional hazards model is proposed and used in risk-set-matching. Matching on this propensity score is shown to achieve a balanced distribution of the covariates in both treated and control groups. Optimal matching with various designs is conducted and compared in a study of a treatment, cystoscopy and hydrodistention, given in response to a chronic bladder disease, interstitial cystitis. Patients received this treatment at varied times, and the goal is to compare patients who were similar up to the time of treatment.

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Revised March 2004