JSM 2005 - Toronto

Abstract #303404

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 55
Type: Topic Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #303404
Title: Multiple Imputation of a Depression Treatment Trial Using an Iterative Predictive Mean Matching Hot-deck
Author(s): Juned Siddique*+ and Thomas R. Belin
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: 1705 Washington Avenue, Santa Monica, CA, 90403,
Keywords: multiple imputation ; predictive mean matching ; hot-deck ; mental health services
Abstract:

We discuss a predictive mean matching hot-deck approach for multiply 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 involve selecting the donor pool and the effect of iteration on postimputation inferences. Results from simulations and the depression treatment study will be presented.

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Revised March 2005