Smoothed quantile residual life regression analysis with application to the Korea HIV/AIDS cohort study.

ABSTRACT:

Background

The residual life of a patient with human immunodeficiency virus (HIV) is of major interest to patients and their physicians. While existing analyses of HIV patient survival focus mostly on data collected at baseline, residual life analysis allows for dynamic analysis based on additional data collected over a period of time. As survival times typically exhibit a right-skewed distribution, the median provides a more useful summary of the underlying distribution than the mean. In this paper, we propose an efficient inference procedure that fits a semiparametric quantile regression model assessing the effect of longitudinal biomarkers on the residual life of HIV patients until the development of dyslipidemia, a disease becoming more prevalent among those with HIV.

Method

SUBMITTER: Kim SM 

PROVIDER: S-EPMC10873972 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature