Abstract #301165

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JSM 2003 Abstract #301165
Activity Number: 332
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #301165
Title: Semiparametric Efficient Estimation of Treatment Effect in a Pretest-Posttest Study
Author(s): Selene Leon*+ and Anastasios A. Tsiatis and Marie Davidian
Companies: North Carolina State University and North Carolina State University and North Carolina State University
Address: Dept. of Statistics, Raleigh, NC, 27695-8203,
Keywords: analysis of covariance ; counterfactuals ; Influence function ; Inverse probability weighting ; semiparametric model ; t-test
Abstract:

Inference on treatment effects in a pretest-posttest study is a routine objective in medicine, public health, and a host of other fields, and a number of approaches have been advocated in the literature. We consider this problem from a semiparametric perspective, making no assumptions about the distributions of baseline and posttest responses. By representing the situation in terms of counterfactual random variables, we exploit recent developments in the literature on missing data and causal inference to derive the class of all treatment effect estimators, identify the most efficient estimator within this class, and outline a practical strategy for implementation of estimators that may improve on popular methods. We demonstrate the methods and their properties via simulation and by application to a dataset from an HIV clinical trial.

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