Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

Jump to content

Bayesian survival analysis

From Wikipedia, the free encyclopedia

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

[edit]
  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.
  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.