A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage\n Renal Disease Data
Year: 2018
Type: article
Abstract: We propose a flexible joint longitudinal-survival framework to examine the\nassociation between longitudinally collected biomarkers and a time-to-event\nendpoint. More specifically, we use our method for analyzing the survival\noutcome of end-stage renal disease patients with time-varying serum albumin\nmeasurements. Our proposed method is robust to common parametric assumptions in\nthat it avoids explicit distributional assumptions on longitudinal measures and\nallows for subject-specific baseline hazard in the survival component. Fully\njoint estimation is performed to account for the uncertainty in the estimated\nlongitudinal biomarkers included in the survival model.
Authors: Masouleh, SA, Holsclaw, T, Shahbaba, B, Gillen, DL
Institution: University of California, Irvine
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4289763397