Cure models in survival analysis

When analysing time-to-event data it often happens that a certain fraction of the data corresponds to subjects that will never experience the event of interest. These event times are considered as innite and the subjects are said to be cured. Survival models that take this feature into account are commonly referred to as cure models. This paper gives a review of the literature on cure regression models in which the event time (response) is subject to random right censoring and has a positive probability to be equal to innity