Filtros : "IME-MAE" "Statistics in Medicine" Removidos: "Indexado no: BDENF" "2007" "BRIGAGÃO, JACQUELINE ISAAC MACHADO" "Chile" "ENFERM" Limpar

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  • Source: Statistics in Medicine. Unidade: IME

    Subjects: ANÁLISE DE COVARIÂNCIA, MODELOS MATEMÁTICOS

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      RIBEIRO, Adèle Helena e SOLER, Júlia Maria Pavan. Learning genetic and environmental graphical models from family data. Statistics in Medicine, v. 39, n. 18, p. 2403-2422, 2020Tradução . . Disponível em: https://doi.org/10.1002/sim.8545. Acesso em: 01 jul. 2024.
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      Ribeiro, A. H., & Soler, J. M. P. (2020). Learning genetic and environmental graphical models from family data. Statistics in Medicine, 39( 18), 2403-2422. doi:10.1002/sim.8545
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      Ribeiro AH, Soler JMP. Learning genetic and environmental graphical models from family data [Internet]. Statistics in Medicine. 2020 ; 39( 18): 2403-2422.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.8545
    • Vancouver

      Ribeiro AH, Soler JMP. Learning genetic and environmental graphical models from family data [Internet]. Statistics in Medicine. 2020 ; 39( 18): 2403-2422.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.8545
  • Source: Statistics in Medicine. Unidade: IME

    Subjects: RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL, ESTATÍSTICA COMPUTACIONAL, RESSONÂNCIA MAGNÉTICA, INFERÊNCIA NÃO PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA, COMPUTAÇÃO GRÁFICA

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      FUJITA, André et al. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine, v. 33, n. 28, p. 4949-4962, 2014Tradução . . Disponível em: https://doi.org/10.1002/sim.6292. Acesso em: 01 jul. 2024.
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      Fujita, A., Takahashi, D. Y., Patriota, A. G., & Sato, J. R. (2014). A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine, 33( 28), 4949-4962. doi:10.1002/sim.6292
    • NLM

      Fujita A, Takahashi DY, Patriota AG, Sato JR. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data [Internet]. Statistics in Medicine. 2014 ; 33( 28): 4949-4962.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.6292
    • Vancouver

      Fujita A, Takahashi DY, Patriota AG, Sato JR. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data [Internet]. Statistics in Medicine. 2014 ; 33( 28): 4949-4962.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.6292
  • Source: Statistics in Medicine. Unidade: IME

    Assunto: ESTATÍSTICA APLICADA

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      LASZLO, Endrenyi et al. On the interchangeability of biologic drug products. Statistics in Medicine, v. 32, n. 3, p. 434\2013441, 2013Tradução . . Disponível em: https://doi.org/10.1002/sim.5569. Acesso em: 01 jul. 2024.
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      Laszlo, E., Chiann, C., Chow, S. -C., & Laszlo Tothfalusi,. (2013). On the interchangeability of biologic drug products. Statistics in Medicine, 32( 3), 434\2013441. doi:10.1002/sim.5569
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      Laszlo E, Chiann C, Chow S-C, Laszlo Tothfalusi. On the interchangeability of biologic drug products [Internet]. Statistics in Medicine. 2013 ;32( 3): 434\2013441.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.5569
    • Vancouver

      Laszlo E, Chiann C, Chow S-C, Laszlo Tothfalusi. On the interchangeability of biologic drug products [Internet]. Statistics in Medicine. 2013 ;32( 3): 434\2013441.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.5569
  • Source: Statistics in Medicine. Unidade: IME

    Assunto: ANÁLISE DE SOBREVIVÊNCIA

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      TUNES, Gisela e KLEIN, Jean-Pierre. Regression analysis of mean quality adjusted survival time based on pseudo-observations. Statistics in Medicine, v. 28, n. 7, p. 1054-1066, 2009Tradução . . Disponível em: https://doi.org/10.1002/sim.3529. Acesso em: 01 jul. 2024.
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      Tunes, G., & Klein, J. -P. (2009). Regression analysis of mean quality adjusted survival time based on pseudo-observations. Statistics in Medicine, 28( 7), 1054-1066. doi:10.1002/sim.3529
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      Tunes G, Klein J-P. Regression analysis of mean quality adjusted survival time based on pseudo-observations [Internet]. Statistics in Medicine. 2009 ; 28( 7): 1054-1066.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.3529
    • Vancouver

      Tunes G, Klein J-P. Regression analysis of mean quality adjusted survival time based on pseudo-observations [Internet]. Statistics in Medicine. 2009 ; 28( 7): 1054-1066.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.3529
  • Source: Statistics in Medicine. Unidades: ICMC, IME

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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      CASTRO, Mário de e GALEA, Manuel e BOLFARINE, Heleno. Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors. Statistics in Medicine, v. 27, n. 25, p. 5217-5234, 2008Tradução . . Disponível em: https://doi.org/10.1002/sim.3343. Acesso em: 01 jul. 2024.
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      Castro, M. de, Galea, M., & Bolfarine, H. (2008). Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors. Statistics in Medicine, 27( 25), 5217-5234. doi:10.1002/sim.3343
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      Castro M de, Galea M, Bolfarine H. Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors [Internet]. Statistics in Medicine. 2008 ; 27( 25): 5217-5234.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.3343
    • Vancouver

      Castro M de, Galea M, Bolfarine H. Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors [Internet]. Statistics in Medicine. 2008 ; 27( 25): 5217-5234.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.3343
  • Source: Statistics in Medicine. Unidade: IME

    Assunto: MÍNIMOS QUADRADOS

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      ANDRÉ, Carmen Diva Saldiva de et al. An overview of the variables selection methods for the minimum sum of absolute errors regression. Statistics in Medicine, v. 22, n. 2, p. 2101-2111, 2003Tradução . . Disponível em: https://doi.org/10.1002/sim.1437. Acesso em: 01 jul. 2024.
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      André, C. D. S. de, Narula, S. C., Elian, S. N., & Tavares, R. A. (2003). An overview of the variables selection methods for the minimum sum of absolute errors regression. Statistics in Medicine, 22( 2), 2101-2111. doi:10.1002/sim.1437
    • NLM

      André CDS de, Narula SC, Elian SN, Tavares RA. An overview of the variables selection methods for the minimum sum of absolute errors regression [Internet]. Statistics in Medicine. 2003 ; 22( 2): 2101-2111.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.1437
    • Vancouver

      André CDS de, Narula SC, Elian SN, Tavares RA. An overview of the variables selection methods for the minimum sum of absolute errors regression [Internet]. Statistics in Medicine. 2003 ; 22( 2): 2101-2111.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/sim.1437
  • Source: Statistics in Medicine. Unidade: IME

    Subjects: INFERÊNCIA ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA

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      BOLFARINE, Heleno e VILCA LABRA, Filidor Edilfonso. comparative calibration without a gold standard - Y. Lu, K. Ye, A. Mathur, S. Hul, T. Fuerst and H. Genant, Statistics in Medicine 1997; 16:1889-1905. Statistics in Medicine, v. 19, n. 9, p. 1253-1254, 2000Tradução . . Disponível em: https://doi.org/10.1002/(sici)1097-0258(20000515)19:9%3C1253::aid-sim425%3E3.0.co;2-m. Acesso em: 01 jul. 2024.
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      Bolfarine, H., & Vilca Labra, F. E. (2000). comparative calibration without a gold standard - Y. Lu, K. Ye, A. Mathur, S. Hul, T. Fuerst and H. Genant, Statistics in Medicine 1997; 16:1889-1905. Statistics in Medicine, 19( 9), 1253-1254. doi:10.1002/(sici)1097-0258(20000515)19:9%3C1253::aid-sim425%3E3.0
    • NLM

      Bolfarine H, Vilca Labra FE. comparative calibration without a gold standard - Y. Lu, K. Ye, A. Mathur, S. Hul, T. Fuerst and H. Genant, Statistics in Medicine 1997; 16:1889-1905 [Internet]. Statistics in Medicine. 2000 ; 19( 9): 1253-1254.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/(sici)1097-0258(20000515)19:9%3C1253::aid-sim425%3E3.0.co;2-m
    • Vancouver

      Bolfarine H, Vilca Labra FE. comparative calibration without a gold standard - Y. Lu, K. Ye, A. Mathur, S. Hul, T. Fuerst and H. Genant, Statistics in Medicine 1997; 16:1889-1905 [Internet]. Statistics in Medicine. 2000 ; 19( 9): 1253-1254.[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/(sici)1097-0258(20000515)19:9%3C1253::aid-sim425%3E3.0.co;2-m
  • Source: Statistics in Medicine. Unidades: FM, IME, HU

    Assunto: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      NARULA, Subhash Chander et al. The minimum sum of absolute errors regression: a robust alternative to the least squares regression. Statistics in Medicine, 1999Tradução . . Disponível em: https://doi.org/10.1002/(sici)1097-0258(19990615)18:11<1401::aid-sim136>3.0.co;2-g. Acesso em: 01 jul. 2024.
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      Narula, S. C., Saldiva, P. H. N., André, C. D. S. de, Elian, S. N., Capelozzi, V. L., & Ferreira, A. F. (1999). The minimum sum of absolute errors regression: a robust alternative to the least squares regression. Statistics in Medicine. doi:10.1002/(sici)1097-0258(19990615)18:11<1401::aid-sim136>3.0.co;2-g
    • NLM

      Narula SC, Saldiva PHN, André CDS de, Elian SN, Capelozzi VL, Ferreira AF. The minimum sum of absolute errors regression: a robust alternative to the least squares regression [Internet]. Statistics in Medicine. 1999 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/(sici)1097-0258(19990615)18:11<1401::aid-sim136>3.0.co;2-g
    • Vancouver

      Narula SC, Saldiva PHN, André CDS de, Elian SN, Capelozzi VL, Ferreira AF. The minimum sum of absolute errors regression: a robust alternative to the least squares regression [Internet]. Statistics in Medicine. 1999 ;[citado 2024 jul. 01 ] Available from: https://doi.org/10.1002/(sici)1097-0258(19990615)18:11<1401::aid-sim136>3.0.co;2-g

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