Mallick, B.K. and Walker, S.G. (2003) A Bayesian semiparametric transformation model incorporating frailties. Journal of Statistical Planning and Inference, 112 (1-2). pp. 159-174. ISSN 0378-3758 .
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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.
|Uncontrolled keywords:||Frailty model; Mixtures of incomplete beta functions; Pólya trees; Proportional hazards model|
|Subjects:||Q Science > QA Mathematics (inc Computing science)|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics|
|Depositing User:||Judith Broom|
|Date Deposited:||10 Sep 2008 12:31|
|Last Modified:||14 Jan 2010 14:40|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/10572 (The current URI for this page, for reference purposes)|
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