%0 Journal Article
%T A Flexible Joint Longitudinal-Survival Model for Analyzing Longitudinally Sampled Biomarkers
%A Sepehr Akhavan Masouleh
%A Tracy Holsclaw
%A Babak Shahbaba
%A Daniel L. Gillen
%J Open Journal of Statistics
%P 778-805
%@ 2161-7198
%D 2021
%I Scientific Research Publishing
%R 10.4236/ojs.2021.115046
%X 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 specification of the
distribution of longitudinal responses and allows for a subject-specific
baseline hazard in the survival component. Fully joint estimation is performed
to account for uncertainty in the estimated longitudinal biomarkers that are
included in the survival model.
%K Joint Longitudinal-Survival
%K Bayesian Nonparameterics
%K Gaussian Processes
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=112458