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  • Source: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR

    Subjects: NEOPLASIAS PULMONARES, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA

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    • ABNT

      GAZON, Amanda Buosi; MILANI, Eder Angelo; MOTA, Alex Leal; et al. Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset. Biometrical Journal, Weinheim, v. 64, n. 1, p. 105-130, 2022. Disponível em: < https://doi.org/10.1002/bimj.202000292 > DOI: 10.1002/bimj.202000292.
    • APA

      Gazon, A. B., Milani, E. A., Mota, A. L., Louzada Neto, F., Tomazella, V. L. D., & Calsavara, V. F. (2022). Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset. Biometrical Journal, 64( 1), 105-130. doi:10.1002/bimj.202000292
    • NLM

      Gazon AB, Milani EA, Mota AL, Louzada Neto F, Tomazella VLD, Calsavara VF. Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset [Internet]. Biometrical Journal. 2022 ; 64( 1): 105-130.Available from: https://doi.org/10.1002/bimj.202000292
    • Vancouver

      Gazon AB, Milani EA, Mota AL, Louzada Neto F, Tomazella VLD, Calsavara VF. Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset [Internet]. Biometrical Journal. 2022 ; 64( 1): 105-130.Available from: https://doi.org/10.1002/bimj.202000292
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: PROCESSOS DE POISSON, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19

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    • ABNT

      SANTANA, Rogerio Alves; CONCEIÇÃO, Katiane Silva; DINIZ, Carlos Alberto Ribeiro; ANDRADE FILHO, Marinho Gomes de. Type I multivariate zero-inflated COM-Poisson regression model. Biometrical Journal, Weinheim, v. 64, n. 3, p. 481-505, 2022. Disponível em: < https://doi.org/10.1002/bimj.202000249 > DOI: 10.1002/bimj.202000249.
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      Santana, R. A., Conceição, K. S., Diniz, C. A. R., & Andrade Filho, M. G. de. (2022). Type I multivariate zero-inflated COM-Poisson regression model. Biometrical Journal, 64( 3), 481-505. doi:10.1002/bimj.202000249
    • NLM

      Santana RA, Conceição KS, Diniz CAR, Andrade Filho MG de. Type I multivariate zero-inflated COM-Poisson regression model [Internet]. Biometrical Journal. 2022 ; 64( 3): 481-505.Available from: https://doi.org/10.1002/bimj.202000249
    • Vancouver

      Santana RA, Conceição KS, Diniz CAR, Andrade Filho MG de. Type I multivariate zero-inflated COM-Poisson regression model [Internet]. Biometrical Journal. 2022 ; 64( 3): 481-505.Available from: https://doi.org/10.1002/bimj.202000249
  • Source: Biometrical Journal. Unidade: IME

    Subjects: REGRESSÃO LINEAR, DISTRIBUIÇÕES (PROBABILIDADE)

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      MORÁN‐VÁSQUEZ, Raúl Alejandro; MAZO‐LOPERA, Mauricio Alejandro; FERRARI, Sílvia Lopes de Paula. Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data. Biometrical Journal, Berlin, v. 63, p. 1290-1308, 2021. Disponível em: < https://doi.org/10.1002/bimj.202000200 > DOI: 10.1002/bimj.202000200.
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      Morán‐Vásquez, R. A., Mazo‐Lopera, M. A., & Ferrari, S. L. de P. (2021). Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data. Biometrical Journal, 63, 1290-1308. doi:10.1002/bimj.202000200
    • NLM

      Morán‐Vásquez RA, Mazo‐Lopera MA, Ferrari SL de P. Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data [Internet]. Biometrical Journal. 2021 ; 63 1290-1308.Available from: https://doi.org/10.1002/bimj.202000200
    • Vancouver

      Morán‐Vásquez RA, Mazo‐Lopera MA, Ferrari SL de P. Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data [Internet]. Biometrical Journal. 2021 ; 63 1290-1308.Available from: https://doi.org/10.1002/bimj.202000200
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ANÁLISE DE DADOS, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO

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      SILVA, Wesley Bertoli da; CONCEIÇÃO, Katiane Silva; ANDRADE FILHO, Marinho Gomes de; LOUZADA NETO, Francisco. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal, Weinheim, v. 63, p. 81-104, 2021. Disponível em: < https://doi.org/10.1002/bimj.202000046 > DOI: 10.1002/bimj.202000046.
    • APA

      Silva, W. B. da, Conceição, K. S., Andrade Filho, M. G. de, & Louzada Neto, F. (2021). A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal, 63, 81-104. doi:10.1002/bimj.202000046
    • NLM

      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2021 ; 63 81-104.Available from: https://doi.org/10.1002/bimj.202000046
    • Vancouver

      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2021 ; 63 81-104.Available from: https://doi.org/10.1002/bimj.202000046
  • Source: Biometrical Journal. Unidade: ESALQ

    Subjects: ANÁLISE DE DADOS LONGITUDINAIS, DADOS CATEGORIZADOS, DISTRIBUIÇÕES (PROBABILIDADE), INSETOS VETORES, MODELOS PARA PROCESSOS ESTOCÁSTICOS, SUÍNOS

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    • ABNT

      LARA, Idemauro Antonio Rodrigues de; MORAL, Rafael A; TACONELI, Cesar A; REIGADA, Carolina; HINDE, John. A generalized transition model for grouped longitudinal categorical data. Biometrical Journal, Hoboken, p. 1-21, 2020. Disponível em: < https://doi.org/10.1002/bimj.201900394 > DOI: 10.1002/bimj.201900394.
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      Lara, I. A. R. de, Moral, R. A., Taconeli, C. A., Reigada, C., & Hinde, J. (2020). A generalized transition model for grouped longitudinal categorical data. Biometrical Journal, 1-21. doi:10.1002/bimj.201900394
    • NLM

      Lara IAR de, Moral RA, Taconeli CA, Reigada C, Hinde J. A generalized transition model for grouped longitudinal categorical data [Internet]. Biometrical Journal. 2020 ; 1-21.Available from: https://doi.org/10.1002/bimj.201900394
    • Vancouver

      Lara IAR de, Moral RA, Taconeli CA, Reigada C, Hinde J. A generalized transition model for grouped longitudinal categorical data [Internet]. Biometrical Journal. 2020 ; 1-21.Available from: https://doi.org/10.1002/bimj.201900394
  • Source: Biometrical Journal. Unidade: FMRP

    Subjects: SARCOMA, PACIENTES, CURA

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      OLIVEIRA, Ricardo Puziol de; MENEZES, André F. B.; MAZUCHELI, Josmar; ACHCAR, Jorge Alberto. Mixture and nonmixture cure fraction models assuming discrete lifetimes: application to a pelvic sarcoma dataset. Biometrical Journal, Weinheim, v. 61, n. 4, p. 813-826, 2019. Disponível em: < http://dx.doi.org/10.1002/bimj.201800030 > DOI: 10.1002/bimj.201800030.
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      Oliveira, R. P. de, Menezes, A. F. B., Mazucheli, J., & Achcar, J. A. (2019). Mixture and nonmixture cure fraction models assuming discrete lifetimes: application to a pelvic sarcoma dataset. Biometrical Journal, 61( 4), 813-826. doi:10.1002/bimj.201800030
    • NLM

      Oliveira RP de, Menezes AFB, Mazucheli J, Achcar JA. Mixture and nonmixture cure fraction models assuming discrete lifetimes: application to a pelvic sarcoma dataset [Internet]. Biometrical Journal. 2019 ; 61( 4): 813-826.Available from: http://dx.doi.org/10.1002/bimj.201800030
    • Vancouver

      Oliveira RP de, Menezes AFB, Mazucheli J, Achcar JA. Mixture and nonmixture cure fraction models assuming discrete lifetimes: application to a pelvic sarcoma dataset [Internet]. Biometrical Journal. 2019 ; 61( 4): 813-826.Available from: http://dx.doi.org/10.1002/bimj.201800030
  • Source: Biometrical Journal. Unidades: ICMC, IME

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, DISTRIBUIÇÕES (PROBABILIDADE)

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    • ABNT

      CALSAVARA, Vinicius Fernando; RODRIGUES, Agatha Sacramento; ROCHA, Ricardo; TOMAZELLA, Vera; LOUZADA, Francisco. Defective regression models for cure rate modeling with interval-censored data. Biometrical Journal, Weinheim, v. 61, n. 4, p. 841-859, 2019. Disponível em: < http://dx.doi.org/10.1002/bimj.201800056 > DOI: 10.1002/bimj.201800056.
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      Calsavara, V. F., Rodrigues, A. S., Rocha, R., Tomazella, V., & Louzada, F. (2019). Defective regression models for cure rate modeling with interval-censored data. Biometrical Journal, 61( 4), 841-859. doi:10.1002/bimj.201800056
    • NLM

      Calsavara VF, Rodrigues AS, Rocha R, Tomazella V, Louzada F. Defective regression models for cure rate modeling with interval-censored data [Internet]. Biometrical Journal. 2019 ; 61( 4): 841-859.Available from: http://dx.doi.org/10.1002/bimj.201800056
    • Vancouver

      Calsavara VF, Rodrigues AS, Rocha R, Tomazella V, Louzada F. Defective regression models for cure rate modeling with interval-censored data [Internet]. Biometrical Journal. 2019 ; 61( 4): 841-859.Available from: http://dx.doi.org/10.1002/bimj.201800056
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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    • ABNT

      SILVA, Marcelo A. da; OLIVEIRA, Eduardo S. B. de; DAVIER, Alina A. von; BAZÁN GUZMÁN, Jorge Luis. Estimating the DINA model parameters using the No‐U‐Turn Sampler. Biometrical Journal, Weinheim, Baden-Württemberg, v. 60, n. 2, p. 352-368, 2018. Disponível em: < http://dx.doi.org/10.1002/bimj.201600225 > DOI: 10.1002/bimj.201600225.
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      Silva, M. A. da, Oliveira, E. S. B. de, Davier, A. A. von, & Bazán Guzmán, J. L. (2018). Estimating the DINA model parameters using the No‐U‐Turn Sampler. Biometrical Journal, 60( 2), 352-368. doi:10.1002/bimj.201600225
    • NLM

      Silva MA da, Oliveira ESB de, Davier AA von, Bazán Guzmán JL. Estimating the DINA model parameters using the No‐U‐Turn Sampler [Internet]. Biometrical Journal. 2018 ; 60( 2): 352-368.Available from: http://dx.doi.org/10.1002/bimj.201600225
    • Vancouver

      Silva MA da, Oliveira ESB de, Davier AA von, Bazán Guzmán JL. Estimating the DINA model parameters using the No‐U‐Turn Sampler [Internet]. Biometrical Journal. 2018 ; 60( 2): 352-368.Available from: http://dx.doi.org/10.1002/bimj.201600225
  • Source: Biometrical Journal. Unidade: FMRP

    Subject: DIAGNÓSTICO POR COMPUTADOR

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    • ABNT

      SIMONEAU, Gabrielle; LEVIS, Brooke; CUIJPERS, Pim; et al. A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests. Biometrical Journal, Weinheim, v. 59, n. 6, p. 1317-1338, 2017. Disponível em: < http://dx.doi.org/10.1002/bimj.201600184 > DOI: 10.1002/bimj.201600184.
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      Simoneau, G., Levis, B., Cuijpers, P., Ioannidis, J. P., Patten, S. B., Shrier, I., et al. (2017). A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests. Biometrical Journal, 59( 6), 1317-1338. doi:10.1002/bimj.201600184
    • NLM

      Simoneau G, Levis B, Cuijpers P, Ioannidis JP, Patten SB, Shrier I, Bombardier CH, Osório F de L. A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests [Internet]. Biometrical Journal. 2017 ; 59( 6): 1317-1338.Available from: http://dx.doi.org/10.1002/bimj.201600184
    • Vancouver

      Simoneau G, Levis B, Cuijpers P, Ioannidis JP, Patten SB, Shrier I, Bombardier CH, Osório F de L. A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests [Internet]. Biometrical Journal. 2017 ; 59( 6): 1317-1338.Available from: http://dx.doi.org/10.1002/bimj.201600184
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      GUPTA, Cherry; COBRE, Juliana; CAMPOS, Adriano Polpo de; SINHA, Debjayoti. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction. Biometrical Journal, Weinheim, v. 58, n. 5, p. 1164-1177, 2016. Disponível em: < http://dx.doi.org/10.1002/bimj.201500111 > DOI: 10.1002/bimj.201500111.
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      Gupta, C., Cobre, J., Campos, A. P. de, & Sinha, D. (2016). Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction. Biometrical Journal, 58( 5), 1164-1177. doi:10.1002/bimj.201500111
    • NLM

      Gupta C, Cobre J, Campos AP de, Sinha D. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction [Internet]. Biometrical Journal. 2016 ; 58( 5): 1164-1177.Available from: http://dx.doi.org/10.1002/bimj.201500111
    • Vancouver

      Gupta C, Cobre J, Campos AP de, Sinha D. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction [Internet]. Biometrical Journal. 2016 ; 58( 5): 1164-1177.Available from: http://dx.doi.org/10.1002/bimj.201500111
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PROBABILIDADE

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    • ABNT

      RODRIGUES, Josemar; CORDEIRO, Gauss M; CANCHO, Vicente Garibay; BALAKRISHNAN, Narayanaswamy. Relaxed Poisson cure rate models. Biometrical Journal, Weinheim, v. 58, n. 2, p. 397-415, 2016. Disponível em: < http://dx.doi.org/10.1002/bimj.201500051 > DOI: 10.1002/bimj.201500051.
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      Rodrigues, J., Cordeiro, G. M., Cancho, V. G., & Balakrishnan, N. (2016). Relaxed Poisson cure rate models. Biometrical Journal, 58( 2), 397-415. doi:10.1002/bimj.201500051
    • NLM

      Rodrigues J, Cordeiro GM, Cancho VG, Balakrishnan N. Relaxed Poisson cure rate models [Internet]. Biometrical Journal. 2016 ; 58( 2): 397-415.Available from: http://dx.doi.org/10.1002/bimj.201500051
    • Vancouver

      Rodrigues J, Cordeiro GM, Cancho VG, Balakrishnan N. Relaxed Poisson cure rate models [Internet]. Biometrical Journal. 2016 ; 58( 2): 397-415.Available from: http://dx.doi.org/10.1002/bimj.201500051
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      LEMONTE, Artur J; BAZÁN GUZMÁN, Jorge Luis. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions. Biometrical Journal, Weinheim, v. 58, n. 4, p. 727–746, 2016. Disponível em: < http://dx.doi.org/10.1002/bimj.201500030 > DOI: 10.1002/bimj.201500030.
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      Lemonte, A. J., & Bazán Guzmán, J. L. (2016). New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions. Biometrical Journal, 58( 4), 727–746. doi:10.1002/bimj.201500030
    • NLM

      Lemonte AJ, Bazán Guzmán JL. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions [Internet]. Biometrical Journal. 2016 ; 58( 4): 727–746.Available from: http://dx.doi.org/10.1002/bimj.201500030
    • Vancouver

      Lemonte AJ, Bazán Guzmán JL. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions [Internet]. Biometrical Journal. 2016 ; 58( 4): 727–746.Available from: http://dx.doi.org/10.1002/bimj.201500030
  • Source: Biometrical Journal. Unidade: ESALQ

    Subjects: ANÁLISE DE VARIÂNCIA, CORRELAÇÃO GENÉTICA E AMBIENTAL, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS LINEARES GENERALIZADOS, DISTRIBUIÇÃO DE POISSON

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      OLIVEIRA, Izabela Regina Cardoso de; MOLENBERGHS, Geert; DEMÉTRIO, Clarice Garcia Borges; et al. Quantifying intraclass correlations for count and time-to-event data. Biometrical Journal, Weinheim, v. 58, n. 4, p. 852-867, 2016. Disponível em: < http://dx.doi.org/10.1002/bimj.201500093 > DOI: 10.1002/bimj.201500093.
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      Oliveira, I. R. C. de, Molenberghs, G., Demétrio, C. G. B., Dias, C. T. dos S., Giolo, S. R., & Andrade, M. C. (2016). Quantifying intraclass correlations for count and time-to-event data. Biometrical Journal, 58( 4), 852-867. doi:10.1002/bimj.201500093
    • NLM

      Oliveira IRC de, Molenberghs G, Demétrio CGB, Dias CT dos S, Giolo SR, Andrade MC. Quantifying intraclass correlations for count and time-to-event data [Internet]. Biometrical Journal. 2016 ; 58( 4): 852-867.Available from: http://dx.doi.org/10.1002/bimj.201500093
    • Vancouver

      Oliveira IRC de, Molenberghs G, Demétrio CGB, Dias CT dos S, Giolo SR, Andrade MC. Quantifying intraclass correlations for count and time-to-event data [Internet]. Biometrical Journal. 2016 ; 58( 4): 852-867.Available from: http://dx.doi.org/10.1002/bimj.201500093
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO

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      MACERA, Marcia A. C; LOUZADA, Francisco; CANCHO, Vicente Garibay; FONTES, Cor J. F. The exponential-Poisson model for recurrent event data: an application to a set of data on malaria in Brazil. Biometrical Journal, Malden, Ma, v. 57, n. 2, p. 201-214, 2015. Disponível em: < http://dx.doi.org/10.1002/bimj.201300116 > DOI: 10.1002/bimj.201300116.
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      Macera, M. A. C., Louzada, F., Cancho, V. G., & Fontes, C. J. F. (2015). The exponential-Poisson model for recurrent event data: an application to a set of data on malaria in Brazil. Biometrical Journal, 57( 2), 201-214. doi:10.1002/bimj.201300116
    • NLM

      Macera MAC, Louzada F, Cancho VG, Fontes CJF. The exponential-Poisson model for recurrent event data: an application to a set of data on malaria in Brazil [Internet]. Biometrical Journal. 2015 ; 57( 2): 201-214.Available from: http://dx.doi.org/10.1002/bimj.201300116
    • Vancouver

      Macera MAC, Louzada F, Cancho VG, Fontes CJF. The exponential-Poisson model for recurrent event data: an application to a set of data on malaria in Brazil [Internet]. Biometrical Journal. 2015 ; 57( 2): 201-214.Available from: http://dx.doi.org/10.1002/bimj.201300116
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR

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      FRAGOSO, Tiago M; CÚRI, Mariana. Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory. Biometrical Journal, Malden, Ma, v. 55, n. 4, p. 527\2013540, 2013. Disponível em: < http://dx.doi.org/10.1002/bimj.201200197 > DOI: 10.1002/bimj.201200197.
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      Fragoso, T. M., & Cúri, M. (2013). Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory. Biometrical Journal, 55( 4), 527\2013540. doi:10.1002/bimj.201200197
    • NLM

      Fragoso TM, Cúri M. Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory [Internet]. Biometrical Journal. 2013 ; 55( 4): 527\2013540.Available from: http://dx.doi.org/10.1002/bimj.201200197
    • Vancouver

      Fragoso TM, Cúri M. Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory [Internet]. Biometrical Journal. 2013 ; 55( 4): 527\2013540.Available from: http://dx.doi.org/10.1002/bimj.201200197
  • Source: Biometrical Journal. Unidade: IME

    Subject: MODELOS (ANÁLISE MULTIVARIADA)

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      MARTÍNEZ-FLÓREZ, Guillermo; BOLFARINE, Heleno; GÓMEZ, Hector W. Asymmetric regression models with limited responses with an application to antibody response to vaccine. Biometrical Journal, Hoboken, v. 55, n. 2, p. 156-172, 2013. Disponível em: < http://dx.doi.org/10.1002/bimj.201100116 > DOI: 10.1002/bimj.201100116.
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      Martínez-Flórez, G., Bolfarine, H., & Gómez, H. W. (2013). Asymmetric regression models with limited responses with an application to antibody response to vaccine. Biometrical Journal, 55( 2), 156-172. doi:10.1002/bimj.201100116
    • NLM

      Martínez-Flórez G, Bolfarine H, Gómez HW. Asymmetric regression models with limited responses with an application to antibody response to vaccine [Internet]. Biometrical Journal. 2013 ; 55( 2): 156-172.Available from: http://dx.doi.org/10.1002/bimj.201100116
    • Vancouver

      Martínez-Flórez G, Bolfarine H, Gómez HW. Asymmetric regression models with limited responses with an application to antibody response to vaccine [Internet]. Biometrical Journal. 2013 ; 55( 2): 156-172.Available from: http://dx.doi.org/10.1002/bimj.201100116
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      CONCEIÇÃO, Katiane S; ANDRADE FILHO, Marinho Gomes de; LOUZADA, Francisco. Zero-modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data. Biometrical Journal, Malden, Ma, v. 55, n. 5, p. 661-678, 2013. Disponível em: < http://dx.doi.org/10.1002/bimj.201100175 > DOI: 10.1002/bimj.201100175.
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      Conceição, K. S., Andrade Filho, M. G. de, & Louzada, F. (2013). Zero-modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data. Biometrical Journal, 55( 5), 661-678. doi:10.1002/bimj.201100175
    • NLM

      Conceição KS, Andrade Filho MG de, Louzada F. Zero-modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data [Internet]. Biometrical Journal. 2013 ; 55( 5): 661-678.Available from: http://dx.doi.org/10.1002/bimj.201100175
    • Vancouver

      Conceição KS, Andrade Filho MG de, Louzada F. Zero-modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data [Internet]. Biometrical Journal. 2013 ; 55( 5): 661-678.Available from: http://dx.doi.org/10.1002/bimj.201100175
  • Source: Biometrical Journal. Unidade: IME

    Subject: MODELOS LINEARES GENERALIZADOS

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    • ABNT

      ALENCAR, Airlane Pereira; SINGER, Júlio da Motta; ROCHA, Francisco Marcelo Monteiro da. Competing regression models for longitudinal data. Biometrical Journal, Weinheim, v. 54, n. 2, p. 214-229, 2012. Disponível em: < http://dx.doi.org/10.1002/bimj.201100056 > DOI: 10.1002/bimj.201100056.
    • APA

      Alencar, A. P., Singer, J. da M., & Rocha, F. M. M. da. (2012). Competing regression models for longitudinal data. Biometrical Journal, 54( 2), 214-229. doi:10.1002/bimj.201100056
    • NLM

      Alencar AP, Singer J da M, Rocha FMM da. Competing regression models for longitudinal data [Internet]. Biometrical Journal. 2012 ; 54( 2): 214-229.Available from: http://dx.doi.org/10.1002/bimj.201100056
    • Vancouver

      Alencar AP, Singer J da M, Rocha FMM da. Competing regression models for longitudinal data [Internet]. Biometrical Journal. 2012 ; 54( 2): 214-229.Available from: http://dx.doi.org/10.1002/bimj.201100056
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR, INFERÊNCIA BAYESIANA

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    • ABNT

      CASTRO, Mário de; CANCHO, Vicente Garibay; RODRIGUES, Josemar. A bayesian long-term survival model parametrized in the cured fraction. Biometrical Journal, Weinheim, v. 51, n. 3, p. 443-455, 2009. Disponível em: < http://dx.doi.org/10.1002/bimj.200800199 > DOI: 10.1002/bimj.200800199.
    • APA

      Castro, M. de, Cancho, V. G., & Rodrigues, J. (2009). A bayesian long-term survival model parametrized in the cured fraction. Biometrical Journal, 51( 3), 443-455. doi:10.1002/bimj.200800199
    • NLM

      Castro M de, Cancho VG, Rodrigues J. A bayesian long-term survival model parametrized in the cured fraction [Internet]. Biometrical Journal. 2009 ; 51( 3): 443-455.Available from: http://dx.doi.org/10.1002/bimj.200800199
    • Vancouver

      Castro M de, Cancho VG, Rodrigues J. A bayesian long-term survival model parametrized in the cured fraction [Internet]. Biometrical Journal. 2009 ; 51( 3): 443-455.Available from: http://dx.doi.org/10.1002/bimj.200800199
  • Source: Biometrical Journal. Unidade: IME

    Subject: DISTRIBUIÇÃO T

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    • ABNT

      GALEA ROJAS, Manuel Jesus; BOLFARINE, Heleno; VILCA LABRA, Filidor Edilfonso. Local influence in comparative calibration models under elliptical t-distributions. Biometrical Journal, Weinheim, v. 47, n. 5, p. 691-706, 2005. Disponível em: < https://doi.org/10.1002/bimj.200310138 > DOI: 10.1002/bimj.200310138.
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      Galea Rojas, M. J., Bolfarine, H., & Vilca Labra, F. E. (2005). Local influence in comparative calibration models under elliptical t-distributions. Biometrical Journal, 47( 5), 691-706. doi:10.1002/bimj.200310138
    • NLM

      Galea Rojas MJ, Bolfarine H, Vilca Labra FE. Local influence in comparative calibration models under elliptical t-distributions [Internet]. Biometrical Journal. 2005 ; 47( 5): 691-706.Available from: https://doi.org/10.1002/bimj.200310138
    • Vancouver

      Galea Rojas MJ, Bolfarine H, Vilca Labra FE. Local influence in comparative calibration models under elliptical t-distributions [Internet]. Biometrical Journal. 2005 ; 47( 5): 691-706.Available from: https://doi.org/10.1002/bimj.200310138

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