Bayesian Accelerated Failure Time Model With Multivariate Doubly Interval-Censored Data and Flexible Distributional Assumptions

Bayesian Accelerated Failure Time Model with Multivariate Doubly-Interval-Censored Data and Flexible Distributional Assumptions

A Bayesian analysis of multivariate doubly-interval-censored dental data.

A Bayesian survival analysis is presented to examine the effect of fluoride-intake on the time to caries development of the permanent first molars in children between 7 and 12 years of age using a longitudinal study conducted in Flanders. Three problems needed to be addressed. Firstly, since the emergence time of a tooth and the time it experiences caries were recorded yearly, the time to carie...

Statistical Analysis of Doubly Interval-Censored Failure Time Data

Doubly interval-censored failure time data refer to the failure time data where the survival time of interest is defined as the elapsed time between two related events. Furthermore, observations on the occurrences of both events could be rightor interval-censored. One field in which such data often occur is epidemiological studies where the two events may represent infection and subsequent onse...

Failure Process Modeling with Censored Data in Accelerated Life Tests

Manufacturers need to evaluate the reliability of their products in order to increase the customer satisfaction. Proper analysis of reliability also requires an effective study of the failure process of a product, especially its failure time. So, the Failure Process Modeling (FPM) plays a key role in the reliability analysis of the system that has been less focused on. This paper introduces a f...

Bayesian Accelerated Failure Time Model for Correlated Interval-censored Data with a Normal Mixture as Error Distribution

A Bayesian approach is proposed for an accelerated failure time model with interval-censored data. The model allows for structured correlated data by inclusion of a random effect part that might depend on covariates, as in a linear mixed model. The error distribution is modelled as a normal mixture with an unknown number of components. Also, the means and variances of the components are not pre...