Background When the mortality among a cancer patient group returns to the same level as
in the general population, that is, the patients no longer experience excess mortality, the …

Background Cure models can provide improved possibilities for inference if used
appropriately, but there is potential for misleading results if care is not taken. In this study, we …

A useful summary measure for survival data is the expectation of life, which is calculated by
obtaining the area under a survival curve. The loss in expectation of life due to a certain type …

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 …

Background Cure models have been adapted to net survival context to provide important
indicators from population-based cancer data, such as the cure fraction and the time-to-cure …

Due to significant progress in cancer treatments and management in survival studies
involving time to relapse (or death), we often need survival models with cured fraction to …

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 …

With parametric cure models, we can express survival parameters (eg cured fraction,
location and scale parameters) as functions of covariates. These models can measure …

Background The mortality risk among cancer patients measured from the time of diagnosis is
often elevated in comparison to the general population. However, for some cancer types, the …

Survival data with a sizable cure fraction are commonly encountered in some cancer clinical
researches and the semiparametric proportional hazards cure model has been recently …