A Flexible Joint Longitudinal-Survival Modeling Framework for
Incorporating Multiple Longitudinal Biomarkers
- Author(s): Akhavan-Masouleh, Sepehr
- Vandenberg-Rodes, Alexander
- Shahbaba, Babak
- Gillen, Daniel L
- et al.
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.
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