smcure: An R-Package for estimating semiparametric mixture cure models
The mixture cure model is a special type of survival models and it assumes that the studied
population is a mixture of susceptible individuals who may experience the event of interest …
population is a mixture of susceptible individuals who may experience the event of interest …
A SAS macro for parametric and semiparametric mixture cure models
F Corbiere, P Joly - Computer methods and programs in biomedicine, 2007 - Elsevier
Cure models have been developed to analyze failure time data with a cured fraction. For
such data, standard survival models are usually not appropriate because they do not …
such data, standard survival models are usually not appropriate because they do not …
Two-component mixture cure rate model with spline estimated nonparametric components
In some survival analysis of medical studies, there are often long-term survivors who can be
considered as permanently cured. The goals in these studies are to estimate the noncured …
considered as permanently cured. The goals in these studies are to estimate the noncured …
A penalized likelihood approach for mixture cure models
Cure models have been developed to analyze failure time data with a cured fraction. For
such data, standard survival models are usually not appropriate because they do not …
such data, standard survival models are usually not appropriate because they do not …
A new estimation method for the semiparametric accelerated failure time mixture cure model
The proportional hazard (PH) mixture cure model and the accelerated failure time (AFT)
mixture cure model are usually used in analysing failure time data with long‐term survivors …
mixture cure model are usually used in analysing failure time data with long‐term survivors …
Semiparametric efficient estimation for a class of generalized proportional odds cure models
M Mao, JL Wang - Journal of the American Statistical Association, 2010 - Taylor & Francis
We present a mixture cure model with the survival time of the “uncured” group coming from a
class of linear transformation models, which is an extension of the proportional odds model …
class of linear transformation models, which is an extension of the proportional odds model …
On the integration of decision trees with mixture cure model
W Aselisewine, S Pal - Statistics in Medicine, 2023 - Wiley Online Library
The mixture cure model is widely used to analyze survival data in the presence of a cured
subgroup. Standard logistic regression‐based approaches to model the incidence may lead …
subgroup. Standard logistic regression‐based approaches to model the incidence may lead …
Assessing the fit of parametric cure models
Survival data can contain an unknown fraction of subjects who are “cured” in the sense of
not being at risk of failure. We describe such data with cure-mixture models, which …
not being at risk of failure. We describe such data with cure-mixture models, which …
Mixture cure models for multivariate survival data
Mixture cure models (MCMs) have been widely used to analyze survival data with a cure
fraction. The MCMs postulate that a fraction of the patients are cured from the disease and …
fraction. The MCMs postulate that a fraction of the patients are cured from the disease and …
Estimation in a Cox proportional hazards cure model
JP Sy, JMG Taylor - Biometrics, 2000 - academic.oup.com
Some failure time data come from a population that consists of some subjects who are
susceptible to and others who are nonsusceptible to the event of interest. The data typically …
susceptible to and others who are nonsusceptible to the event of interest. The data typically …