Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution (2020)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.cam.2019.112362
- Subjects: INFERÊNCIA BAYESIANA; MÉTODO DE MONTE CARLO; CADEIAS DE MARKOV; ANÁLISE DE SOBREVIVÊNCIA
- Keywords: Cure rate models; Competing risks; Power series distribution; Spatial frailty; Influence diagnostics
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Computational and Applied Mathematics
- ISSN: 0377-0427
- Volume/Número/Paginação/Ano: v. 364, p. 1-15, 2020
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
YIQI, Bao et al. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, v. 364, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2019.112362. Acesso em: 09 abr. 2026. -
APA
Yiqi, B., Cancho, V. G., Dey, D. K., Balakrishnan, N., & Suzuki, A. K. (2020). Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution. Journal of Computational and Applied Mathematics, 364, 1-15. doi:10.1016/j.cam.2019.112362 -
NLM
Yiqi B, Cancho VG, Dey DK, Balakrishnan N, Suzuki AK. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution [Internet]. Journal of Computational and Applied Mathematics. 2020 ; 364 1-15.[citado 2026 abr. 09 ] Available from: https://doi.org/10.1016/j.cam.2019.112362 -
Vancouver
Yiqi B, Cancho VG, Dey DK, Balakrishnan N, Suzuki AK. Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution [Internet]. Journal of Computational and Applied Mathematics. 2020 ; 364 1-15.[citado 2026 abr. 09 ] Available from: https://doi.org/10.1016/j.cam.2019.112362 - Bayesian survival model for lifetime with long-term survivors in presence of unobserved heterogeneity
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- Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data
- D-Measure: a bayesian model selection criterion for survival data
- A bayesian cure rate model with dispersion induced by discrete frailty
- The Poisson-Inverse-Gaussian regression model with cure rate: a bayesian approach and its case influence diagnostics
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