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Dataset Information

The estimation of long and short term survival time and associated factors of HIV patients using mixture cure rate models.


ABSTRACT:

Background

HIV is one of the deadliest epidemics and one of the most critical global public health issues. Some are susceptible to die among people living with HIV and some survive longer. The aim of the present study is to use mixture cure models to estimate factors affecting short- and long-term survival of HIV patients.

Methods

The total sample size was 2170 HIV-infected people referred to the disease counseling centers in Kermanshah Province, in the west of Iran, from 1998 to 2019. A Semiparametric PH mixture cure model and a mixture cure frailty model were fitted to the data. Also, a comparison between these two models was performed.

Results

Based on the results of the mixture cure frailty model, antiretroviral therapy, tuberculosis infection, history of imprison

SUBMITTER: Ghobadi KN 

PROVIDER: S-EPMC10201694 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature