On the use of the modified power series family of distributions in a cure rate model context (2020)
- Authors:
- Autor USP: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC
- Unidade: ICMC
- DOI: 10.1177/0962280219876962
- Subjects: ANÁLISE DE SOBREVIVÊNCIA; ALGORITMOS ÚTEIS E ESPECÍFICOS; DISTRIBUIÇÕES (PROBABILIDADE); VEROSSIMILHANÇA
- Keywords: Expectation Maximization algorithm; long-term survival models; maximum likelihood; promotion time cure rate model
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Statistical Methods in Medical Research
- ISSN: 0962-2802
- Volume/Número/Paginação/Ano: v. 29, n. 7, p. 1831-1845, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MATELUNA, Diego Ignacio Gallardo et al. On the use of the modified power series family of distributions in a cure rate model context. Statistical Methods in Medical Research, v. 29, n. 7, p. 1831-1845, 2020Tradução . . Disponível em: https://doi.org/10.1177/0962280219876962. Acesso em: 04 jan. 2026. -
APA
Mateluna, D. I. G., Gomez, Y. M., Gómez, H. W., & Castro, M. de. (2020). On the use of the modified power series family of distributions in a cure rate model context. Statistical Methods in Medical Research, 29( 7), 1831-1845. doi:10.1177/0962280219876962 -
NLM
Mateluna DIG, Gomez YM, Gómez HW, Castro M de. On the use of the modified power series family of distributions in a cure rate model context [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 7): 1831-1845.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1177/0962280219876962 -
Vancouver
Mateluna DIG, Gomez YM, Gómez HW, Castro M de. On the use of the modified power series family of distributions in a cure rate model context [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 7): 1831-1845.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1177/0962280219876962 - Influence assessment in an heteroscedastic errors-in-variables model
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- Maximum penalized likelihood inference in classical errors-in-variables model
- New estimation methods for the Grubbs model
Informações sobre o DOI: 10.1177/0962280219876962 (Fonte: oaDOI API)
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