A multivariate survival model induced by discrete frailty (2022)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; SUZUKI, ADRIANO KAMIMURA - ICMC ; SANTO, ANA PAULA JORGE DO ESPIRITO - Interinstitucional de Pós-Graduação em Estatística
- Unidades: ICMC; Interinstitucional de Pós-Graduação em Estatística
- DOI: 10.1080/03610918.2020.1806323
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; DISTRIBUIÇÕES (PROBABILIDADE); INFERÊNCIA BAYESIANA
- Keywords: Cured fraction; Frailty models; Gibbs sampling; Multivariate survival models
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Statistics - Simulation and Computation
- ISSN: 0361-0918
- Volume/Número/Paginação/Ano: v. 51, n. 11, p. 6572-6590, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CANCHO, Vicente Garibay et al. A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, v. 51, n. 11, p. 6572-6590, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1806323. Acesso em: 29 dez. 2025. -
APA
Cancho, V. G., Suzuki, A. K., Barriga, G. D. C., & Santo, A. P. J. do E. (2022). A multivariate survival model induced by discrete frailty. Communications in Statistics - Simulation and Computation, 51( 11), 6572-6590. doi:10.1080/03610918.2020.1806323 -
NLM
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1080/03610918.2020.1806323 -
Vancouver
Cancho VG, Suzuki AK, Barriga GDC, Santo APJ do E. A multivariate survival model induced by discrete frailty [Internet]. Communications in Statistics - Simulation and Computation. 2022 ; 51( 11): 6572-6590.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1080/03610918.2020.1806323 - A new survival model for lifetime with long-term survivors and unobserved heterogeneity
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Informações sobre o DOI: 10.1080/03610918.2020.1806323 (Fonte: oaDOI API)
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