Bayesian accelerated failure time analysis with application to veterinary epidemiology

✍ Scribed by Edward J. Bedrick; Ronald Christensen; Wesley O. Johnson

• Publisher: John Wiley and Sons
• Year: 2000
• Tongue: English
• Weight: 158 KB
• Volume: 19
• Category: Article
• ISSN: 0277-6715
• DOI: 10.1002/(sici)1097-0258(20000130)19:2<221::aid-sim328>3.0.co;2-c

✦ Synopsis

Standard methods for analysing survival data with covariates rely on asymptotic inferences. Bayesian methods can be performed using simple computations and are applicable for any sample size. We propose a practical method for making prior speciÿcations and discuss a complete Bayesian analysis for parametric accelerated failure time regression models. We emphasize inferences for the survival curve rather than regression coecients. A key feature of the Bayesian framework is that model comparisons for various choices of baseline distribution are easily handled by the calculation of Bayes factors. Such comparisons between non-nested models are di cult in the frequentist setting. We illustrate diagnostic tools and examine the sensitivity of the Bayesian methods.