A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers
Methodology
2018-07-27 v1
Abstract
We are interested in survival analysis of hemodialysis patients for whom several biomarkers are recorded over time. Motivated by this challenging problem, we propose a general framework for multivariate joint longitudinal-survival modeling that can be used to examine the association between several longitudinally recorded covariates and a time-to-event endpoint. Our method allows for simultaneous modeling of longitudinal covariates by taking their correlation into account. This leads to a more efficient method for modeling their trajectories over time, and hence, it can better capture their relationship to the survival outcomes.
Cite
@article{arxiv.1807.09969,
title = {A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers},
author = {Sepehr Akhavan-Masouleh and Alexander Vandenberg-Rodes and Babak Shahbaba and Daniel L. Gillen},
journal= {arXiv preprint arXiv:1807.09969},
year = {2018}
}