Efficient semiparametric mixture inferences on cure rate models for competing risks

2015 ◽  
Vol 43 (3) ◽  
pp. 420-435 ◽  
Author(s):  
Sangbum Choi ◽  
Xuelin Huang ◽  
Janice N. Cormier
Keyword(s):  
Competing Risks ◽  
Cure Rate ◽  
Cure Rate Models ◽  
Semiparametric Mixture

Relaxed Poisson cure rate models

2015 ◽  
Vol 58 (2) ◽  
pp. 397-415 ◽  
Author(s):  
Josemar Rodrigues ◽  
Gauss M. Cordeiro ◽  
Vicente G. Cancho ◽  
N. Balakrishnan
Keyword(s):  
Cure Rate ◽  
Cure Rate Models

Bayesian Approaches to Cure Rate Models

2005 ◽  
Author(s):  
Joseph G. Ibrahim ◽  
Ming-Hui Chen ◽  
Debajyoti Sinha
Keyword(s):  
Cure Rate ◽  
Bayesian Approaches ◽  
Cure Rate Models

scholarly journals Gradient and Likelihood Ratio Tests in Cure Rate Models

2016 ◽  
Vol 5 (4) ◽  
pp. 9 ◽  
Author(s):  
Hérica P. A. Carneiro ◽  
Dione M. Valença
Keyword(s):  
Likelihood Ratio ◽  
Asymptotic Properties ◽  
Information Matrix ◽  
Survival Models ◽  
Finite Sample ◽  
Cure Rate ◽  
Time Model ◽  
Cure Rate Models ◽  
Large Sample ◽  
Finite Samples

In some survival studies part of the population may be no longer subject to the event of interest. The called cure rate models take this fact into account. They have been extensively studied for several authors who have proposed extensions and applications in real lifetime data. Classic large sample tests are usually considered in these applications, especially the likelihood ratio. Recently  a new test called \textit{gradient test} has been proposed. The gradient statistic shares the same asymptotic properties with the classic likelihood ratio and does not involve knowledge of the information matrix, which can be an advantage in survival models. Some simulation studies have been carried out to explore the behavior of the gradient test in finite samples and compare it with the classic tests in different models. However little is known about the properties of these large sample tests in finite sample for cure rate models. In this work we  performed a simulation study based on the promotion time model with Weibull distribution, to assess the performance of likelihood ratio and gradient tests in finite samples. An application is presented to illustrate the results.

Semiparametric mixture cure model analysis with competing risks data: Application to vascular access thrombosis data

2020 ◽  
Vol 39 (27) ◽  
pp. 4086-4099
Author(s):  
Chyong‐Mei Chen ◽  
Pao‐sheng Shen ◽  
Chih‐Ching Lin ◽  
Chih‐Cheng Wu
Keyword(s):  
Competing Risks ◽  
Vascular Access ◽  
Model Analysis ◽  
Cure Model ◽  
Mixture Cure Model ◽  
Data Application ◽  
Competing Risks Data ◽  
Semiparametric Mixture

On a class of non‐linear transformation cure rate models

2020 ◽  
Vol 62 (5) ◽  
pp. 1208-1222 ◽  
Author(s):  
Narayanaswamy Balakrishnan ◽  
Fotios S. Milienos
Keyword(s):  
Linear Transformation ◽  
Cure Rate ◽  
Cure Rate Models ◽  
Non Linear

scholarly journals Analyzing the Long-Term Survival of Patients with Colorectal Cancer: A Study Using Parametric Non-Mixture Cure Rate Models

2018 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Mehdi Azizmohammad Looha ◽  
Elaheh Zarean ◽  
Mohamad Amin Pourhoseingholi ◽  
Seyyed Vahid Hosseini ◽  
Tara Azimi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cure Rate ◽  
Cure Rate Models ◽  
Term Survival ◽  
Long Term Survival
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