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April 30, 2024Open Access

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data

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Authors

MAMadeline R. AbbottWDWalter DempseyINInbal Nahum‐Shani

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Cite This Study

Abbott et al. (2024) studied this question.

synapsesocial.com/papers/68e6cdf2b6db64358764be67https://doi.org/10.48550/arxiv.2405.00179
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two‐stage method2024
  2. 2A joint model for a longitudinal outcome and a progressive multistate model under a mixed observation scheme2026
  3. 3Bayesian Joint Model with Latent Time Shifts for Multivariate Longitudinal Data with Informative Dropout2024
  4. 4A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability2026
  5. 5A Bayesian Location‐Scale Joint Model for Time‐To‐Event and Multivariate Longitudinal Data With Association Based on Within‐Individual Variability2026 · 1 citations