Frailty models power variance function with cure fraction and latent risk factors negative binomial (2017)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- DOI: 10.1080/03610926.2016.1218029
- Subjects: INFERÊNCIA BAYESIANA; ESTATÍSTICA APLICADA; INFERÊNCIA ESTATÍSTICA
- Keywords: Cancer recurrence; competing risks; cure rate models frailty models; power variance function (PVF) distribution
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Communications in Statistics - Theory and Methods
- ISSN: 0361-0926
- Volume/Número/Paginação/Ano: v. 46, n. 19, p. 9763-9776, Jun. 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CALSAVARA, Vinicius Fernando et al. Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communications in Statistics - Theory and Methods, v. 46, n. Ju 2017, p. 9763-9776, 2017Tradução . . Disponível em: https://doi.org/10.1080/03610926.2016.1218029. Acesso em: 17 abr. 2024. -
APA
Calsavara, V. F., Rodrigues, A. S., Tomazella, V. L. D., & Castro, M. de. (2017). Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communications in Statistics - Theory and Methods, 46( Ju 2017), 9763-9776. doi:10.1080/03610926.2016.1218029 -
NLM
Calsavara VF, Rodrigues AS, Tomazella VLD, Castro M de. Frailty models power variance function with cure fraction and latent risk factors negative binomial [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( Ju 2017): 9763-9776.[citado 2024 abr. 17 ] Available from: https://doi.org/10.1080/03610926.2016.1218029 -
Vancouver
Calsavara VF, Rodrigues AS, Tomazella VLD, Castro M de. Frailty models power variance function with cure fraction and latent risk factors negative binomial [Internet]. Communications in Statistics - Theory and Methods. 2017 ; 46( Ju 2017): 9763-9776.[citado 2024 abr. 17 ] Available from: https://doi.org/10.1080/03610926.2016.1218029 - Influence assessment in an heteroscedastic errors-in-variables model
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Informações sobre o DOI: 10.1080/03610926.2016.1218029 (Fonte: oaDOI API)
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