A bayesian cure rate model with dispersion induced by discrete frailty (2018)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; SUZUKI, ADRIANO KAMIMURA - ICMC ; LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.29220/CSAM.2018.25.5.471
- Subjects: INFERÊNCIA BAYESIANA; DISTRIBUIÇÕES (PROBABILIDADE); ANÁLISE DE SOBREVIVÊNCIA
- Keywords: Bayes fator; cure rate models; frailty models; Kullback-Leibler; zero-inflated power series distribution
- Language: Inglês
- Imprenta:
- Publisher place: Seoul, Korea
- Date published: 2018
- Source:
- Título: Communications for Statistical Applications and Methods
- ISSN: 2287-7843
- Volume/Número/Paginação/Ano: v. 25, n. 5, p. 471-488, Set. 2018
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
CANCHO, Vicente Garibay et al. A bayesian cure rate model with dispersion induced by discrete frailty. Communications for Statistical Applications and Methods, v. 25, n. 5, p. 471-488, 2018Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2018.25.5.471. Acesso em: 04 abr. 2026. -
APA
Cancho, V. G., Zavaleta, K. E. C., Macera, M. A. C., Suzuki, A. K., & Louzada, F. (2018). A bayesian cure rate model with dispersion induced by discrete frailty. Communications for Statistical Applications and Methods, 25( 5), 471-488. doi:10.29220/CSAM.2018.25.5.471 -
NLM
Cancho VG, Zavaleta KEC, Macera MAC, Suzuki AK, Louzada F. A bayesian cure rate model with dispersion induced by discrete frailty [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 471-488.[citado 2026 abr. 04 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.471 -
Vancouver
Cancho VG, Zavaleta KEC, Macera MAC, Suzuki AK, Louzada F. A bayesian cure rate model with dispersion induced by discrete frailty [Internet]. Communications for Statistical Applications and Methods. 2018 ; 25( 5): 471-488.[citado 2026 abr. 04 ] Available from: https://doi.org/10.29220/CSAM.2018.25.5.471 - The FGM long-term bivariate survival copula model: modeling, bayesian estimation, and case influence diagnostics
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