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May 30, 2024Open Access

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches

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Authors

DADanilo AlvaresMRC Biostatistics UnitJBJessica BarrettUniversity of CambridgeFMFrançois MercierRoche (Switzerland)

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Alvares et al. (2024) studied this question.

synapsesocial.com/papers/68e67cafb6db64358760631ehttps://doi.org/10.48550/arxiv.2405.20418
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Also Consider

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

  1. 1A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance2024
  2. 2Relapse prediction in multiple myeloma patients treated with isatuximab, carfilzomib, and dexamethasone2024
  3. 3Dynamic Prediction of Survival Outcomes in Multiple Myeloma2026
  4. 4A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data2024
  5. 5A two-stage joint modeling approach for multiple longitudinal markers and time-to-event data2026