Bayesian parametric models for survival prediction in medical applications

Bayesian parametric models for survival prediction in medical applications

Abstract Background Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on the predicted benefit of a treatment on a patient-level. Survival predic...

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Bibliographic Details
Main Authors: Iwan Paolucci, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Kristy K. Brock, Bruno C. Odisio
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian
Neural network
Machine learning
Survival analysis
Survival outcome
Online Access:https://doi.org/10.1186/s12874-023-02059-4

Internet

https://doi.org/10.1186/s12874-023-02059-4

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