Open AccessStatistical Joint Modeling for Predicting the Association of CD4 Measurement and Time to Death of People Living with HIV Who Enrolled in ART, Southwest Ethiopia
Author(s) -
Firew Tiruneh,
Lalisa Chewaka,
Dinaol Abdissa Fufa
Publication year - 2021
Publication title -
hiv/aids
Language(s) - English
Resource type - Journals
ISSN - 1179-1373
DOI - 10.2147/hiv.s283059
Subject(s) - interquartile range , demography , medicine , proportional hazards model , epidemiology , survival analysis , statistical significance , cohort , cohort study , gerontology , statistics , mathematics , sociology
In much epidemiological HIV research, patients are often followed over a period of time to predict their survival on the basis of repeatedly measured CD4 status. To predict survival, statistical models of the association between mortality and longitudinal CD4 measurement have been conducted widely using time-varying Cox models. However, in the presence of repeated measure, this approach leads to biased estimates. In view of the limitation of time-varying Cox models, in the present study, we considered joint modeling to predict the association of longitudinal CD4 measurement and time to death among patients initiated on ART.