Bayesian modeling for a new cure rate model based on the Nielsen distribution-Reference-Cited by-同舟云学术

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Bayesian modeling for a new cure rate model based on the Nielsen distribution

Published:2022-12-01 Issue:4 Volume:36 Page:
ISSN:0103-0752
Container-title:Brazilian Journal of Probability and Statistics
language:
Short-container-title:Braz. J. Probab. Stat.

Author:

Santos-Neto Manoel¹,Gómez Yolanda M.²,Gallardo Diego I.³,Costa Eliardo G.⁴

Affiliation:

1. Departamento de Estatística, Universidade Federal de Campina Grande, Campina Grande, Brazil

2. Departamento de Medicina, Facultad de Medicina, Universidad de Atacama, Copiapó, Chile

3. Departamento de Matemática, Facultad de Ingeniería, Universidad de Atacama, Copiapó, Chile

4. Departamento de Estatística, Universidade Federal do Rio Grande do Norte, Natal, Brazil

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability

Reference34 articles.

1. Boag, J. W. (1949). Maximum likelihood estimates of the proportion of patients cured by cancer therapy. Journal of the Royal Statistical Society, Series B 35, 15–53.

2. Cancho, V., Macera, M., Suzuki, A., Louzada, F. and Zavaleta, K. (2020). A new long-term survival model with dispersion induced by discrete frailty. Lifetime Data Analysis 26, 221–244.

3. Cancho, V. G., Castro, M. and Dey, D. (2013a). Long-term survival models with latent activation under a flexible family of distributions. Brazilian Journal of Probability and Statistics 27, 585–600.

4. Cancho, V. G., Castro, M. and Rodrigues, J. (2012). A Bayesian analysis of the Conway-Maxwell-Poisson cure rate model. Statistical Papers 53, 165–176.

5. Cancho, V. G., Louzada, F. and Ortega, E. M. (2013b). The power series cure rate model: An application to a cutaneous melanoma data. Communications in Statistics Simulation and Computation 42, 586–602.

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