𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Bayesian dynamic models for survival data with a cure fraction

✍ Scribed by Sungduk Kim; Ming-Hui Chen; Dipak K. Dey; Dani Gamerman

Publisher
Springer
Year
2006
Tongue
English
Weight
387 KB
Volume
13
Category
Article
ISSN
1380-7870

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Bayesian Inference for Multivariate Surv
Bayesian Inference for Multivariate Survival Data with a Cure Fraction
✍ Ming-Hui Chen; Joseph G. Ibrahim; Debajyoti Sinha πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 208 KB

We develop Bayesian methods for right censored multivariate failure time data for populations with a cure fraction. We propose a new model, called the multivariate cure rate model, and provide a natural motivation and interpretation of it. To create the correlation structure between the failure time

A Bayesian approach to mixture cure mode
A Bayesian approach to mixture cure models with spatial frailties for population-based cancer relative survival data
✍ Binbing Yu; Ram C. Tiwari πŸ“‚ Article πŸ“… 2012 πŸ› John Wiley and Sons 🌐 French βš– 144 KB πŸ‘ 3 views

## Abstract As the treatments of cancer progress, a certain number of cancers are curable if diagnosed early. In population‐based cancer survival studies, cure is said to occur when mortality rate of the cancer patients returns to the same level as that expected for the general cancer‐free populati

Semiparametric Bayesian inference for dy
Semiparametric Bayesian inference for dynamic Tobit panel data models with unobserved heterogeneity
✍ Tong Li; Xiaoyong Zheng πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 242 KB

## Abstract This paper develops semiparametric Bayesian methods for inference of dynamic Tobit panel data models. Our approach requires that the conditional mean dependence of the unobserved heterogeneity on the initial conditions and the strictly exogenous variables be specified. Important quantit