Computations Via Auxiliary Random Functions for Survival Models
University of Michigan Business Working Paper
Posted: 14 Sep 2001
Date Written: 2000
Abstract
A new simulation method, Auxiliary Random Functions, is introduced. When used within a Gibbs sampler, this method enables a unified treatment of exact, right-censored, left-censored, left-trucated and interval censored data, with and without covariates, in survival models. The models and methods are exemplified via illustrative analyses.
Keywords: Extended gamma process, Censored data, Gibbs sampling, Auxiliary functions, Covariates, Bioassay
Suggested Citation: Suggested Citation
Papatla, Purushottam and Papatla, Purushottam and Damien, Paul and Walker, Stephen G., Computations Via Auxiliary Random Functions for Survival Models (2000). University of Michigan Business Working Paper, Available at SSRN: https://ssrn.com/abstract=249152
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