“…Survival models with a cure rate have received much attention in recent years (Farewell, 1982(Farewell, , 1986Kuk and Chen, 1992;Sy and Taylor, 2000;Peng and Dear, 2000, among others). These models are useful when a proportion of study subjects never experience the event of interest.…”
Section: Introductionmentioning
confidence: 99%
“…Kuk and Chen (1992) proposed the so-called proportional hazards cure model in which the proportional hazards regression (Cox 1972) models the survival times of susceptible subjects while the logistic regression models the cure fraction.…”
Section: Introductionmentioning
confidence: 99%
“…As noted by Kuk and Chen (1992), if the cure fraction 1 − π(γ X) is not equal to zero, the hazard function of T is no longer proportional and the simple form of the partial likelihood function, like that for the usual Cox proportional hazards model, can not be obtained here. To solve this difficulty, they proposed to consider the following complete but unobserved likelihood function:…”
“…Survival models with a cure rate have received much attention in recent years (Farewell, 1982(Farewell, , 1986Kuk and Chen, 1992;Sy and Taylor, 2000;Peng and Dear, 2000, among others). These models are useful when a proportion of study subjects never experience the event of interest.…”
Section: Introductionmentioning
confidence: 99%
“…Kuk and Chen (1992) proposed the so-called proportional hazards cure model in which the proportional hazards regression (Cox 1972) models the survival times of susceptible subjects while the logistic regression models the cure fraction.…”
Section: Introductionmentioning
confidence: 99%
“…As noted by Kuk and Chen (1992), if the cure fraction 1 − π(γ X) is not equal to zero, the hazard function of T is no longer proportional and the simple form of the partial likelihood function, like that for the usual Cox proportional hazards model, can not be obtained here. To solve this difficulty, they proposed to consider the following complete but unobserved likelihood function:…”
“…Indeed, the authors found that, while the two factors they considered in the analysis of the prostate cancer data have significant effects in the generalized logistic model, neither of them seemed to be significant in the conditional hazards. Note that the model (1) and (2) is related to semiparametric mixture models for survival data with cure fraction (see, among others, Kuk and Chen 1992;Taylor 1995;Sy and Taylor 2000;Peng 2003, who investigated the computational issues raised by the estimation in this class of models. See also Fang et al (2005) and Lu (2008) who studied the large-sample properties of maximum likelihood estimators in the proportional hazards cure model).…”
“…The mixture cure model (1) has been extensively studied in the literature, which includes the work of Gray and Tsiatis (1989), Kuk and Chen (1992), Taylor (1995), Sy and Taylor (2000), Peng and Dear (2000), and Betensky and Schoenfeld (2001), among others. A comprehensive discussion of the mixture cure model is given by Maller and Zhou (1996).…”
We consider a class of cure rate frailty models for multivariate failure time data with a survival fraction. This class is formulated through a transformation on the unknown population survival function. It incorporates random effects to account for the underlying correlation, and includes the mixture cure model and the proportional hazards cure model as two special cases. We develop efficient likelihood-based estimation and inference procedures. We show that the nonparametric maximum likelihood estimators for the parameters of these models are consistent and asymptotically normal, and that the limiting variances achieve the semiparametric efficiency bounds. Simulation studies demonstrate that the proposed methods perform well in finite samples. We provide an application of the proposed methods to the data of the age at onset of alcohol dependence, from the Collaborative Study on the Genetics of Alcoholism.
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