Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data (2019)
- Authors:
- USP affiliated authors: CANCHO, VICENTE GARIBAY - ICMC ; LOUZADA NETO, FRANCISCO - ICMC ; SUZUKI, ADRIANO KAMIMURA - ICMC
- Unidade: ICMC
- DOI: 10.1142/S2424922X19500050
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
- Keywords: Bayesian inference; cure rate; influence diagnostics; semi-parametric models; spatial frailty
- Language: Inglês
- Imprenta:
- Source:
- Título: Advances in Data Science and Adaptive Analysis
- ISSN: 2424-922X
- Volume/Número/Paginação/Ano: v.11, n. 3 & 4, p. 1-32, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
YIGI, Bao et al. Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data. Advances in Data Science and Adaptive Analysis, v. 11, n. 3 & 4, p. 1-32, 2019Tradução . . Disponível em: https://doi.org/10.1142/S2424922X19500050. Acesso em: 29 dez. 2025. -
APA
Yigi, B., Cancho, V. G., Louzada, F., & Suzuki, A. K. (2019). Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data. Advances in Data Science and Adaptive Analysis, 11( 3 & 4), 1-32. doi:10.1142/S2424922X19500050 -
NLM
Yigi B, Cancho VG, Louzada F, Suzuki AK. Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ;11( 3 & 4): 1-32.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1142/S2424922X19500050 -
Vancouver
Yigi B, Cancho VG, Louzada F, Suzuki AK. Semi-parametric cure rate proportional odds models with spatial frailties for interval-censored data [Internet]. Advances in Data Science and Adaptive Analysis. 2019 ;11( 3 & 4): 1-32.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1142/S2424922X19500050 - On estimation and influence diagnostics for a bivariate promotion lifetime model based on the FGM Copula: a fully bayesian computation
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Informações sobre o DOI: 10.1142/S2424922X19500050 (Fonte: oaDOI API)
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