This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 441
Type: Invited
Date/Time: Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract - #306303
Title: Matching Methods for Estimating the Effect on Survival of a Time-Dependent Treatment
Author(s): Douglas E. Schaubel*+ and Yun Li
Companies: University of Michigan and University of Michigan
Address: M4039 SPH II , Ann Arbor, 48109-2029,
Keywords: time dependent treatment ; survival function ; observational study ; matching; ; causal inference ; semiparametric methods
Abstract:

In observational studies of survival time featuring a time-dependent treatment, the hazard ratio (an instantaneous measure) is often used to represent the treatment effect. However, investigators are often more interested in the difference in survival functions. We propose semi-parametric methods to estimate the effect of a time-varying treatment on survival. We use various matching techniques to select comparable patients for each treated patient. Having balanced the treatment-specific adjustment covariate distributions, non-parametric methods can be employed to estimate the survival functions. The proposed methods are evaluated through simulation and applied to estimate the effect on survival of kidney transplantation using a national end-stage renal disease database.


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