ABSTRACT
In many scientific studies, researchers are interested in time to the occurrence of a specific event of interest. Cured subjects are immune or non-susceptible to the event. The presence of cured subjects is often suggested by a Kaplan-Meier estimate of the marginal survival function, which shows a long and stable plateau with heavy censoring at the right extreme. Survival models that take into account the possibility of cure are commonly referred to as cure models or cure rate models. The cure model also provides estimation and inference of the distribution of the survival time for uncured subjects or subjects who are not cured. The non-mixture cure model is another type of cure models for modeling time-to-event data with a cure fraction.
