Bayesian survival analysis

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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]

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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[1] 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.

[Sinha1997-2] 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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