Estimation in a Cox Proportional Hazards Cure Model

By J. P. Sy, J. M. Taylor. Biometrics, 2000

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Maximum likelihood estimation in the proportional hazards cure model (2008, methodology): “The proportional hazards cure model was further studied by Peng and Dear (2000) and Sy and Taylor (2000) among others to obtain alternative methods for computing the joint semiparametric likelihood function.”
Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional‐Hazards Mixture Model (2005, methodology): “Finally, we emphasize that these mixture models should be used only in situations where there is good scientific or empirical evidence of a cure population (see e.g. Farewell, 1986; Sy & Taylor, 2000).”
CURE MODEL WITH CURRENT STATUS DATA (2009, methodology): “For right censored survival data, studies of cure models include Farewell (1986), Kuk and Chen (1992), Lu and Ying (2004), Peng and Dear (2000), Li, Taylor and Sy (2001), Sy and Taylor (2000, 2001), Taylor (1995), Chen, Ibrahim and Sinha (2004) and Fang, Li and Sun (2005), among others.”
Estimating Cure Rates From Survival Data (2003, methodology): “This model was further studied by Sy and Taylor (2000) and Peng and Dear (2000).”
The Kumaraswamy Generalized Half-Normal Distribution for Skewed Positive Data (2012, methodology): “Mixture models involving these distributions have been studied by several authors, including Farewell (1982), Sy and Taylor (2000) and Ortega et al. (2009).”