A Bayesian Analysis of Bivariate Survival Data from a
Multicentre Cancer Clinical Trial
An analysis of survival data from a clinical trial is presented. The
trial was conducted to evaluate new chemotherapies for colorectal
cancer. The centres participating in the trial are modelled via random
effects, to allow for heterogeneous patient responses across centres.
Patient response is measured in terms of both progression and survival
times, facillitating finer inferences about the effects of treatments
and centres on the response. In particular, the data suggest that
patient responses are homogeneous before disease progression, but
heterogeneous after progression. For one of the new therapies, some
increase in efficacy is detected before, but not after, progression.
Key Words: Colorectal cancer; Hierarchical models; Homogeneity;
Multicentre clinical trials; Random effects; Survival analysis.