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Showing 1 to 3 of 3 for “"Cure Rate Model"”.
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Cure Rate Model with Spline Estimated Components
… survivors who can be considered as permanently cured. The goals in these studies are to estimate the cure probability of the whole population and the hazard rate of the noncured subpopulation. The existing methods for cure rate models have been limited to parametric and semiparametric models. …
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Cure Rate Models with Nonparametric Form of Covariate Effects
… on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term survivors. Consequently, the population consists of the susceptible and non-susceptible sub-populations with the latter termed as "cured". The modeling of both the …
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Bayesian analysis of spatial and survival models with applications of computation techniques
… methodologies of applying Bayesian hierarchical models to different data with geographical characteristics or with right-censored failure time. A conditional autoregressive (CAR) prior is used for the model to capture spatial effects. Markov chain Monte Carlo (MCMC) methods are used in the …