Evaluation of an AFT Model for Misclassified, Interval-censored Data in an Economical Setting

Abstract

We adapt an Accelerated Failure Time (AFT) model designed for the analysis of misclassified, interval-censored medical study data, into an economical setting. The model performance is evaluated on a simulated dataset, and a centering reparameterization of its event times part is applied to ensure faster convergence of MCMC algorithms.

Keywords

• Interval-censored data
• Misclassified data
• Bayesian approach