JSM 2004 - Toronto

Abstract #301785

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Activity Number: 409
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Health Policy Statistics
Abstract - #301785
Title: Evaluating Factors of a Hot-deck Imputation Procedure in a Longitudinal Depression Treatment Study
Author(s): Juned Siddique*+ and Thomas R. Belin
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: Dept. of Biostatistics, Los Angeles, CA, 90095-1772,
Keywords: imputation ; hot-deck ; longitudinal study
Abstract:

We discuss a predictive-mean-matching hot-deck approach for imputing missing data from a large longitudinal treatment study of low income minority women with depression. The hot-deck strategy investigated here involves imputing variables one at a time by using regression equations to match prospective donors and donees with similar predicted values. Important practical questions revolve around the extent to which investigator choices in the hot-deck procedure might affect subsequent inferences. We contrast results from two alternative approaches for variables in the predictive-mean-matching model: one where covariates in the imputation model were selected by the investigator on a priori grounds, and one where covariates are selected using a stepwise-regression approach. We also discuss the use of multiple imputation to accurately reflect imputation uncertainty and outline additional factors that we plan to study in terms of their impact on hot-deck results.

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