Yale University

Evaluation of multiple failure time analyses of observational data in patients treated for HIV.

TitleEvaluation of multiple failure time analyses of observational data in patients treated for HIV.
Publication TypeJournal Article
Year of Publication2005
AuthorsLim, Hyun Ja, Nahida H. Gordon, and Amy C. Justice
JournalHIV clinical trials
Volume6
Issue2
Pagination81-91
Date Published2005 Mar-Apr
ISSN1528-4336
KeywordsAnti-HIV Agents, Cohort Studies, Drug Therapy, Combination, Female, HIV Infections, Humans, Male, Models, Statistical, Treatment Failure
AbstractThe development of protease inhibitors and nonnucleoside reverse transcriptase inhibitors has substantially increased the number of combinations available for multi-drug therapies in human immunodeficiency virus (HIV) infection. Unfortunately, all antiretroviral therapies lose efficacy over time or induce side effects, thus making secondary and tertiary alternatives necessary. With the multiplicity of multi-drug combination therapies, the challenge is to determine which multi-drug combination to use as initial therapy and which to use as subsequent therapy to maximize survival. No standard methodologic approach has been developed to answer this question within the context of observational clinical HIV data. We demonstrate the use of semi-parametric models employing repeated, multiple failure time analysis to compare the relative efficacy of treatments containing zidovudine, stavudine, or other multi-drug combinations for patients in the CHORUS (Collaborations in HIV Outcomes Research - US) database.
Alternate JournalHIV Clin Trials

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