A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage Renal Disease Data
Applications
2018-07-09 v1
Abstract
We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically, we use our method for analyzing the survival outcome of end-stage renal disease patients with time-varying serum albumin measurements. Our proposed method is robust to common parametric assumptions in that it avoids explicit distributional assumptions on longitudinal measures and allows for subject-specific baseline hazard in the survival component. Fully joint estimation is performed to account for the uncertainty in the estimated longitudinal biomarkers included in the survival model.
Keywords
Cite
@article{arxiv.1807.02239,
title = {A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage Renal Disease Data},
author = {Sepehr Akhavan Masouleh and Tracy Holsclaw and Babak Shahbaba and Daniel L. Gillen},
journal= {arXiv preprint arXiv:1807.02239},
year = {2018}
}