Filtros : "Cobre, Juliana" "LOUZADA NETO, FRANCISCO" Limpar

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  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Assunto: INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
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    • ABNT

      LOUZADA, Francisco et al. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, v. 28, n. 2, p. 167-189, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-bjps200. Acesso em: 28 set. 2024.
    • APA

      Louzada, F., Saraiva, E. F., Milan, L., & Cobre, J. (2014). A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, 28( 2), 167-189. doi:10.1214/12-bjps200
    • NLM

      Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/12-bjps200
    • Vancouver

      Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2024 set. 28 ] Available from: https://doi.org/10.1214/12-bjps200
  • Source: Statistics in Medicine. Unidades: ICMC, FMRP

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      COBRE, Juliana et al. A mechanistic breast cancer survival modelling through the axillary lymph node chain. Statistics in Medicine, v. 32, p. 1536\20131546, 2013Tradução . . Disponível em: https://doi.org/10.1002/sim.5576. Acesso em: 28 set. 2024.
    • APA

      Cobre, J., Perdoná, G. da S. C., Peria, F. M., & Louzada, F. (2013). A mechanistic breast cancer survival modelling through the axillary lymph node chain. Statistics in Medicine, 32, 1536\20131546. doi:10.1002/sim.5576
    • NLM

      Cobre J, Perdoná G da SC, Peria FM, Louzada F. A mechanistic breast cancer survival modelling through the axillary lymph node chain [Internet]. Statistics in Medicine. 2013 ; 32 1536\20131546.[citado 2024 set. 28 ] Available from: https://doi.org/10.1002/sim.5576
    • Vancouver

      Cobre J, Perdoná G da SC, Peria FM, Louzada F. A mechanistic breast cancer survival modelling through the axillary lymph node chain [Internet]. Statistics in Medicine. 2013 ; 32 1536\20131546.[citado 2024 set. 28 ] Available from: https://doi.org/10.1002/sim.5576
  • Source: Test. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      LOUZADA, Francisco e COBRE, Juliana. A multiple time scale survival model with a cure fraction. Test, v. 21, n. 2, p. 355-368, 2012Tradução . . Disponível em: https://doi.org/10.1007/s11749-011-0247-1. Acesso em: 28 set. 2024.
    • APA

      Louzada, F., & Cobre, J. (2012). A multiple time scale survival model with a cure fraction. Test, 21( 2), 355-368. doi:10.1007/s11749-011-0247-1
    • NLM

      Louzada F, Cobre J. A multiple time scale survival model with a cure fraction [Internet]. Test. 2012 ; 21( 2): 355-368.[citado 2024 set. 28 ] Available from: https://doi.org/10.1007/s11749-011-0247-1
    • Vancouver

      Louzada F, Cobre J. A multiple time scale survival model with a cure fraction [Internet]. Test. 2012 ; 21( 2): 355-368.[citado 2024 set. 28 ] Available from: https://doi.org/10.1007/s11749-011-0247-1
  • Source: Computational and Mathematical Methods in Medicine. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SARAIVA, Erlandson F. et al. A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data. Computational and Mathematical Methods in Medicine, v. 2012, p. 953086-953098, 2012Tradução . . Disponível em: https://doi.org/10.1155/2012/953086. Acesso em: 28 set. 2024.
    • APA

      Saraiva, E. F., Louzada, F., Milan, L. A., Meira, S., & Cobre, J. (2012). A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data. Computational and Mathematical Methods in Medicine, 2012, 953086-953098. doi:10.1155/2012/953086
    • NLM

      Saraiva EF, Louzada F, Milan LA, Meira S, Cobre J. A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data [Internet]. Computational and Mathematical Methods in Medicine. 2012 ; 2012 953086-953098.[citado 2024 set. 28 ] Available from: https://doi.org/10.1155/2012/953086
    • Vancouver

      Saraiva EF, Louzada F, Milan LA, Meira S, Cobre J. A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data [Internet]. Computational and Mathematical Methods in Medicine. 2012 ; 2012 953086-953098.[citado 2024 set. 28 ] Available from: https://doi.org/10.1155/2012/953086

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