Survival analysis is normally carried out using parametric models, semi-parametric models, non-parametric models to estimate the survival rate in clinical research. However recently Bayesian models[1] are also used to estimate the survival rate due to their ability to handle design and analysis issues in clinical research.[2]
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Bayesian survival analysis
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Survival Models: Introduction to Survival Analysis | Data Science
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The Bayes Theorem: What Are the Odds?
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References
- ^ Ibrahim, Joseph G.; Chen, Ming-Hui; Sinha, Debajyoti (2001). Bayesian Survival Analysis – Springer. Springer Series in Statistics. doi:10.1007/978-1-4757-3447-8. ISBN 978-1-4419-2933-4.
- ^ Sinha, Debajyoti; Dey, Dipak K. (September 1997). "Semiparametric Bayesian Analysis of Survival Data". Journal of the American Statistical Association. 92 (439): 1195–1212. doi:10.1080/01621459.1997.10474077.
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This page was last edited on 27 September 2019, at 20:33