Abstract #301324

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JSM 2003 Abstract #301324
Activity Number: 167
Type: Contributed
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #301324
Title: Using Multiple Imputation in a Couple-focused HIV Prevention for Adolescent Parents
Author(s): Tanya Henneman*+
Companies: University of California, Los Angeles
Address: Department of Biostatistics, Los Angeles, CA, 90095-1772,
Keywords: multiple imputation ; missing data ; mixed effects ; HIV/AIDS
Abstract:

In studies with missing data an available-case analysis can result in biased parameter estimates, the reduction of information or the elimination of potentially relevant variables from the analysis. Various imputation techniques have been developed in order to impute missing values and allow the researcher to perform statistical analyses appropriate for complete-data. With data collected in a couple-focused HIV/AIDS prevention program for adolescent parents, we use a multiple imputation technique (Little and Rubin 1987) to assess the effect of an experimental intervention with outcome measurements missing for some individuals. Couples were randomized according to site of recruitment into either a control or experimental group. Data were collected on subjects in a baseline questionnaire and at three different post-intervention time points. Outcome measures of interest are AIDS knowledge, behavioral intention to use condoms, the number of unprotected vaginal sex episodes in the past three months, and the number of sexual partners.

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