Modeling of the cure fraction in survival studies
Paul C. Lambert
Centre for Biostatistics and Genetic Epidemiology
Department of Health Sciences
University of Leicester
Leicester, UK
[email protected]
|
Abstract. Cure models are a special type of survival analysis model where it is
assumed that there are a proportion of subjects who will never experience
the event and thus the survival curve will eventually reach a plateau. In
population-based cancer studies, cure is said to occur when the mortality
(hazard) rate in the diseased group of individuals returns to the same level
as that expected in the general population. The cure fraction is of interest
to patients and a useful measure to monitor trends and differences in
survival of curable disease. I will describe the strsmix and
strsnmix commands, which t the two main types of cure fraction model,
namely, the mixture and nonmixture cure fraction models. These models allow
incorporation of the expected background mortality rate and thus enable the
modeling of relative survival when cure is a possibility. I give an example
to illustrate the commands.
View all articles by this author:
Paul C. Lambert
View all articles with these keywords:
strsmix, strsnmix, predict, relative survival, cure models, split population models, postestimation
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|
