Filtros : "CURA" "Louzada, Francisco" Removido: "Brasil" Limpar

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  • Source: Journal of Applied Statistics. Unidades: ICMC, FMRP

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, INFLAÇÃO, CURA, NEOPLASIAS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SOUZA, Hayala Cristina Cavenague de et al. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, v. 49, n. 12, p. 3178–3194, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1933923. Acesso em: 14 nov. 2024.
    • APA

      Souza, H. C. C. de, Louzada, F., Ramos, P. L., Oliveira Júnior, M. R. de, & Perdoná, G. da S. C. (2022). A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database. Journal of Applied Statistics, 49( 12), 3178–3194. doi:10.1080/02664763.2021.1933923
    • NLM

      Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
    • Vancouver

      Souza HCC de, Louzada F, Ramos PL, Oliveira Júnior MR de, Perdoná G da SC. A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database [Internet]. Journal of Applied Statistics. 2022 ; 49( 12): 3178–3194.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
  • Source: Advances in Data Science and Adaptive Analysis. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, CURA

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      BARRIGA, Gladys Dorotea Cacsire et al. A new class of cure rate survival models: properties, inference and applications. Advances in Data Science and Adaptive Analysis, v. 13, n. 1, p. 2150001-1-2150001-15, 2021Tradução . . Disponível em: https://doi.org/10.1142/S2424922X21500017. Acesso em: 14 nov. 2024.
    • APA

      Barriga, G. D. C., Suzuki, A. K., Cancho, V. G., & Louzada, F. (2021). A new class of cure rate survival models: properties, inference and applications. Advances in Data Science and Adaptive Analysis, 13( 1), 2150001-1-2150001-15. doi:10.1142/S2424922X21500017
    • NLM

      Barriga GDC, Suzuki AK, Cancho VG, Louzada F. A new class of cure rate survival models: properties, inference and applications [Internet]. Advances in Data Science and Adaptive Analysis. 2021 ; 13( 1): 2150001-1-2150001-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1142/S2424922X21500017
    • Vancouver

      Barriga GDC, Suzuki AK, Cancho VG, Louzada F. A new class of cure rate survival models: properties, inference and applications [Internet]. Advances in Data Science and Adaptive Analysis. 2021 ; 13( 1): 2150001-1-2150001-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1142/S2424922X21500017

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