%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