Work

A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers

Year: 2018

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1807.09969

Authors: Akhavan-Masouleh, Sepehr, Vandenberg-Rodes, Alexander, Shahbaba, Babak, Gillen, Daniel L.

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

OpenAlex ID: W2885009173

Cites: 6

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Related to: 10