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Filtros : "MOTA, ALEX LEAL" "2022" Removido: "INFERÊNCIA ESTATÍSTICA" Limpar

Filtros

Artigo de periodico
Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset (2022)
Gazon, Amanda Buosi ; Milani, Eder Angelo ; Mota, Alex Leal ; Louzada, Francisco ; Tomazella, Vera Lucia Damasceno ; Calsavara, Vinicius Fernando
Source: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: NEOPLASIAS PULMONARES, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAZON, Amanda Buosi et al. Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset. Biometrical Journal, v. 64, n. 1, p. 105-130, 2022Tradução . . Disponível em: https://doi.org/10.1002/bimj.202000292. Acesso em: 15 nov. 2024.
APA
Gazon, A. B., Milani, E. A., Mota, A. L., Louzada, F., Tomazella, V. L. D., & Calsavara, V. F. (2022). Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset. Biometrical Journal, 64( 1), 105-130. doi:10.1002/bimj.202000292
NLM
Gazon AB, Milani EA, Mota AL, Louzada F, Tomazella VLD, Calsavara VF. Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset [Internet]. Biometrical Journal. 2022 ; 64( 1): 105-130.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/bimj.202000292
Vancouver
Gazon AB, Milani EA, Mota AL, Louzada F, Tomazella VLD, Calsavara VF. Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset [Internet]. Biometrical Journal. 2022 ; 64( 1): 105-130.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/bimj.202000292
Artigo de periodico
The Lehmann type II inverse Weibull distribution in the presence of censored data (2022)
Tomazella, Vera Lucia Damasceno ; Ramos, Pedro Luiz ; Ferreira, Paulo Henrique ; Mota, Alex Leal ; Louzada, Francisco
Source: Communications in Statistics: Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DADOS CENSURADOS, VEROSSIMILHANÇA, REAMOSTRAGEM BOOTSTRAP
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMAZELLA, Vera Lucia Damasceno et al. The Lehmann type II inverse Weibull distribution in the presence of censored data. Communications in Statistics: Simulation and Computation, v. 51, n. 12, p. 7057-7073, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610918.2020.1823000. Acesso em: 15 nov. 2024.
APA
Tomazella, V. L. D., Ramos, P. L., Ferreira, P. H., Mota, A. L., & Louzada, F. (2022). The Lehmann type II inverse Weibull distribution in the presence of censored data. Communications in Statistics: Simulation and Computation, 51( 12), 7057-7073. doi:10.1080/03610918.2020.1823000
NLM
Tomazella VLD, Ramos PL, Ferreira PH, Mota AL, Louzada F. The Lehmann type II inverse Weibull distribution in the presence of censored data [Internet]. Communications in Statistics: Simulation and Computation. 2022 ;51( 12): 7057-7073.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2020.1823000
Vancouver
Tomazella VLD, Ramos PL, Ferreira PH, Mota AL, Louzada F. The Lehmann type II inverse Weibull distribution in the presence of censored data [Internet]. Communications in Statistics: Simulation and Computation. 2022 ;51( 12): 7057-7073.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1080/03610918.2020.1823000

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