JSM 2004 - Toronto

Abstract #300590

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Activity Number: 303
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #300590
Title: Evaluating Risk of HIV Acquisition from a Cohort of IDUs Using Decision Tree Hazard Ratio Criterion
Author(s): Hicham Al-Nachawati*+ and Julie Bruneau and Jean Vincelette and François Lamothe
Companies: Université de Montréal and Université de Montréal and Université de Montréal and Université de Montréal
Address: Centre de Recherche du Centre hospitalier, Montréal, PQ, H2X 3J4, Canada
Keywords: decision tree ; CHAID ; survival analysis ; Cox regression ; HIV ; injection drug users
Abstract:

Decision tree (Dtree) or automatic interaction detection (AID) has been defined as a method of partitioning a set E, which is successively divided using explicative variables (risk factors, predictors) and referring to dependent variable (response, outcome). The purpose of this paper is to classify data from a cohort of Injection Drug Users (IDUs) in order to identify their risk of infection, behavioral patterns and factors associated with HIV seroconversion. Our results suggest that the Survival Dtree method using Hazard Ratio offers an alternative to standard regression models in order to classify subgroups of IDUs in relation to their risk of HIV acquisition.

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