Portland State University
Fariborz Maseeh Department of Mathematics & Statistics
The Maseeh Mathematics and Statistics Colloquium Series*
~ Division of Statistics, Northern Illinois University ~
A unified competing risks cure rate model with application to cancer survival data
A competing risks framework refers to multiple risks acting simultaneously on a subject or on a system. A cure rate, or a limited-failure model, postulates a fraction of the subjects/systems to be cured or failure-free, and can be formulated as a mixture model, or alternatively by a bounded cumulative hazard model. We develop models that unify the competing risks and limited-failure approaches. The identifiability of these unified models are studied in detail. We describe Bayesian analysis of these models, and discuss conceptual, methodological and computational issues related to model fitting and model selection. We describe detailed applications in survival data from breast cancer patients in the Surveillance, Epidemiology, and End Results (SEER) program of the National Cancer Institute (NCI) of the United States.
Friday, May 20th, 2011, 3:15pm
Neuberger Hall room 454
(Refreshments served at 3:00 Neuberger Hall room 344)
* Sponsored by the Maseeh Mathematics and Statistics Colloquium Series Fund and the Fariborz Maseeh Department of Mathematics & Statistics, PSU. This event is free and open to the public.