A Bayesian semiparametric transformation model incorporating frailties

abstract

• We describe a Bayesian semiparametric (failure time) transformation model for which an unknown monotone transformation of failure times is assumed linearly dependent on observed covariates with an unspecified error distribution. The two unknowns: the monotone transformation and error distribution are assigned prior distributions with large supports. Our class of regression model includes the proportional hazards, accelerated failure time, and frailty models. Numerical examples are presented. 2002 Elsevier Science B.V. All rights reserved.

authors

• Mallick, Bani

published proceedings

• JOURNAL OF STATISTICAL PLANNING AND INFERENCE

author list (cited authors)

• Mallick, B. K., & Walker, S.

citation count

• 26

complete list of authors

• Mallick, BK||Walker, S

publication date

• March 2003

publisher

• Elsevier  Publisher

published in

• Journal of Statistical Planning and Inference  Journal

keywords

• Frailty Model
• Mixtures Of Incomplete Beta Functions
• Polya Trees
• Proportional Hazards Model

Digital Object Identifier (DOI)

• 10.1016/S0378-3758(02)00330-0

start page

• 159

end page

• 174

volume

• 112

issue

• 1-2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fs0378-3758%2802%2900330-0