Bayesian survival analysis

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{{Cite book|title=Bayesian Survival Analysis – Springer|last=Ibrahim|first=Joseph G.|last2=Chen|first2=Ming-Hui|last3=Sinha|first3=Debajyoti|doi=10.1007/978-1-4757-3447-8|series = Springer Series in Statistics|year = 2001|isbn = 978-1-4419-2933-4}} are also used to estimate the survival rate due to their ability to handle design and analysis issues in clinical research.{{cite journal|last1=Sinha|first1=Debajyoti|authorlink2=Dipak K. Dey|last2=Dey|first2=Dipak K.|title=Semiparametric Bayesian Analysis of Survival Data|journal=Journal of the American Statistical Association|date=September 1997|volume=92|issue=439|pages=1195–1212|doi=10.1080/01621459.1997.10474077}}