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Activity Number: 399 - Modern Methods and Applications for HIV/AIDS Research
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #329396 Presentation
Title: Measuring Association Between Times from Treatment Initiation to Viral Failure and Regimen Change in HIV-Infected Persons
Author(s): Svetlana K. Eden* and Bryan E Shepherd and Chun Li
Companies: Vanderbilt University School of Medicine and Vanderbilt University School of Medicine and Case Western Reserve University, Institute for Computational Biology
Keywords: spearman correlation; bivariate survival; HIV

In persons living with HIV, viral load is strongly associated with morbidity and mortality. Viral failure in a patient who is compliant to therapy indicates that the therapy is not working and that changing regimens might be required. Statistically, this means that time to viral failure and time to regimen change should be highly correlated. We suggest a method of measuring association between two time-to-event variables and apply our method to data from therapy initiators in the Caribbean, Central, and South America network for HIV epidemiology. Our method is an extension of Spearman's correlation for censored data. It permits covariate adjustment and can be used for continuous and discrete data. Our computations show relatively high correlation between time to viral failure and time to regimen change: 0.28 (95% confidence interval [CI] 0.25, 0.30) among adults and 0.33 (95% CI 0.24, 0.41) among children. The results are similar after adjustment for age, sex, study site, baseline CD4, and baseline viral load.

Authors who are presenting talks have a * after their name.

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