Filtros : "Journal of Data Science" "FMRP-RGO" Removido: "2009" Limpar

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  • Fonte: Journal of Data Science. Unidade: FMRP

    Assuntos: NEOPLASIAS MAMÁRIAS, INFERÊNCIA BAYESIANA, SOBREVIVÊNCIA LIVRE DE DOENÇA

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    • ABNT

      ICUMA, Tatiana Reis et al. Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer. Journal of Data Science, v. 14, n. 4, p. 657-680, 2016Tradução . . Disponível em: http://www.jds-online.com/volume-14-number-4-october-2016. Acesso em: 28 nov. 2025.
    • APA

      Icuma, T. R., Buzatto, I. P. C., Tiezzi, D. G., Achcar, J. A., & Davarzani, N. (2016). Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer. Journal of Data Science, 14( 4), 657-680. Recuperado de http://www.jds-online.com/volume-14-number-4-october-2016
    • NLM

      Icuma TR, Buzatto IPC, Tiezzi DG, Achcar JA, Davarzani N. Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer [Internet]. Journal of Data Science. 2016 ; 14( 4): 657-680.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-14-number-4-october-2016
    • Vancouver

      Icuma TR, Buzatto IPC, Tiezzi DG, Achcar JA, Davarzani N. Use of bivariate lifetime distributions assuming continuous or discrete data applied to patients with breast cancer [Internet]. Journal of Data Science. 2016 ; 14( 4): 657-680.[citado 2025 nov. 28 ] Available from: http://www.jds-online.com/volume-14-number-4-october-2016

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