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 …

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 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 …

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

The trade-offs between survival benefits and therapeutic adverse effects on quality of life
(QOL) is always an important clinical issue for cancer and AIDS patients. The International …

With rapid improvements in medical treatment and health care, many datasets dealing with
time to relapse or death now reveal a substantial portion of patients who are cured (ie, who …

In this paper, we propose a new class of semi-parametric cure rate models. Specifically, we
construct dynamic models for piecewise hazard functions over a finite partition of the time …

A new latent cure rate marker model for survival data Page 1 The Annals of Applied
Statistics 2009, Vol. 3, No. 3, 1124–1146 DOI: 10.1214/09-AOAS238 © Institute of …

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 …