We propose a general Bayesian criterion for model assessment. The criterion is constructed
from the posterior predictive distribution of the data, and can be written as a sum of two …

When studying a regression model measures of explained variation are used to assess the
degree to which the covariates determine the outcome of interest. Measures of predictive …

The proportional hazards model (PHM) in the context survival data analysis, take in the
famous Cox model as it is also called, was introduced by Cox (1972) in order to estimate the …

Bayesian influence measures for linear regression models have been developed mostly for
normal regression models with noninformative prior distributions for the unknown …

We consider a life testing situation in which systems are subject to failure from independent
competing risks. Following a failure, immediate (stage-1) procedures are used in an attempt …

Publisher Summary Prediction functions or Health Risk Appraisal Functions (HRAF) are
mathematical models of the probability of an event. This chapter focuses on the evaluation of …

In this paper, we establish both naive and formal Bayesian justifications of Cox's (1975)
partial likelihood and its various modifications. We extend the original work of Kalbfieisch …

In the analysis of time‐to‐event data, the problem of competing risks occurs when an
individual may experience one, and only one, of m different types of events. The presence of …

We consider inference for data from a clinical trial of treatments for metastatic prostate
cancer. Patients joined the trial with diverse prior treatment histories. The resulting …

In longitudinal studies, outcomes ascertained at follow‐up are typically undefined for
individuals who die prior to the follow‐up visit. In such settings, outcomes are said to be …