Filtros : "Journal of Applied Statistics" "FMRP-RMS" Limpar

Filtros



Refine with date range


  • 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: 08 ago. 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 ago. 08 ] 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 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1933923
  • Source: Journal of Applied Statistics. Unidades: ICMC, FMRP

    Subjects: PARTO, ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, EDUCAÇÃO

    Acesso 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. The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, v. 49, n. 9, p. 2416-2429, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2021.1896684. Acesso em: 08 ago. 2024.
    • APA

      Souza, H. C. C. de, Louzada, F., Oliveira, M. R. de, Fawole, B., Akintan, A., Oyeneyin, L., et al. (2022). The log-normal zero-inflated cure regression model for labor time in an African obstetric population. Journal of Applied Statistics, 49( 9), 2416-2429. doi:10.1080/02664763.2021.1896684
    • NLM

      Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
    • Vancouver

      Souza HCC de, Louzada F, Oliveira MR de, Fawole B, Akintan A, Oyeneyin L, Sanni W, Perdona G da SC. The log-normal zero-inflated cure regression model for labor time in an African obstetric population [Internet]. Journal of Applied Statistics. 2022 ; 49( 9): 2416-2429.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2021.1896684
  • Source: Journal of Applied Statistics. Unidades: FMRP, ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, PROBABILIDADE, CRIANÇAS, HIV

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

      PERDONÁ, Gleici Castro e LOUZADA, Francisco. A general hazard model for lifetime data in the presence of cure rate. Journal of Applied Statistics, v. 38, n. 7, p. 1395-1405, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.505948. Acesso em: 08 ago. 2024.
    • APA

      Perdoná, G. C., & Louzada, F. (2011). A general hazard model for lifetime data in the presence of cure rate. Journal of Applied Statistics, 38( 7), 1395-1405. doi:10.1080/02664763.2010.505948
    • NLM

      Perdoná GC, Louzada F. A general hazard model for lifetime data in the presence of cure rate [Internet]. Journal of Applied Statistics. 2011 ; 38( 7): 1395-1405.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2010.505948
    • Vancouver

      Perdoná GC, Louzada F. A general hazard model for lifetime data in the presence of cure rate [Internet]. Journal of Applied Statistics. 2011 ; 38( 7): 1395-1405.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2010.505948
  • Source: Journal of Applied Statistics. Unidade: FMRP

    Subjects: BIOESTATÍSTICA, MALÁRIA, INFERÊNCIA BAYESIANA

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

      MARTINEZ, Edson Zangiacomi e ARAGON, Davi Casale e ACHCAR, Jorge Alberto. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up. Journal of Applied Statistics, v. 38, n. 6, p. 1303-1309, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.498503. Acesso em: 08 ago. 2024.
    • APA

      Martinez, E. Z., Aragon, D. C., & Achcar, J. A. (2011). A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up. Journal of Applied Statistics, 38( 6), 1303-1309. doi:10.1080/02664763.2010.498503
    • NLM

      Martinez EZ, Aragon DC, Achcar JA. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up [Internet]. Journal of Applied Statistics. 2011 ; 38( 6): 1303-1309.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2010.498503
    • Vancouver

      Martinez EZ, Aragon DC, Achcar JA. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up [Internet]. Journal of Applied Statistics. 2011 ; 38( 6): 1303-1309.[citado 2024 ago. 08 ] Available from: https://doi.org/10.1080/02664763.2010.498503

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024