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Artigo de periodico
Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data (2023)
Alves, Jessica S. B; Bazán Guzmán, Jorge Luis ; Arellano-Valle, Reinaldo Boris
Source: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, REGISTROS MÉDICOS
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ABNT
ALVES, Jessica S. B e BAZÁN GUZMÁN, Jorge Luis e ARELLANO-VALLE, Reinaldo Boris. Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data. Biometrical Journal, v. 65, n. 3, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1002/bimj.202100325. Acesso em: 19 abr. 2024.
APA
Alves, J. S. B., Bazán Guzmán, J. L., & Arellano-Valle, R. B. (2023). Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data. Biometrical Journal, 65( 3), 1-18. doi:10.1002/bimj.202100325
NLM
Alves JSB, Bazán Guzmán JL, Arellano-Valle RB. Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data [Internet]. Biometrical Journal. 2023 ; 65( 3): 1-18.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202100325
Vancouver
Alves JSB, Bazán Guzmán JL, Arellano-Valle RB. Flexible cloglog links for binomial regression models as an alternative for imbalanced medical data [Internet]. Biometrical Journal. 2023 ; 65( 3): 1-18.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202100325
Artigo de periodico
A classification model for continuous responses: identifying risk perception groups on health-related activities (2023)
Oliveira, Eduardo Schneider Bueno de ; Wang, Xiaojing; Bazán Guzmán, Jorge Luis
Source: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: FRAMEWORKS, INFERÊNCIA BAYESIANA, RESPOSTAS
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ABNT
OLIVEIRA, Eduardo Schneider Bueno de e WANG, Xiaojing e BAZÁN GUZMÁN, Jorge Luis. A classification model for continuous responses: identifying risk perception groups on health-related activities. Biometrical Journal, v. 65, n. 4, p. 1-22, 2023Tradução . . Disponível em: https://doi.org/10.1002/bimj.202100222. Acesso em: 19 abr. 2024.
APA
Oliveira, E. S. B. de, Wang, X., & Bazán Guzmán, J. L. (2023). A classification model for continuous responses: identifying risk perception groups on health-related activities. Biometrical Journal, 65( 4), 1-22. doi:10.1002/bimj.202100222
NLM
Oliveira ESB de, Wang X, Bazán Guzmán JL. A classification model for continuous responses: identifying risk perception groups on health-related activities [Internet]. Biometrical Journal. 2023 ; 65( 4): 1-22.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202100222
Vancouver
Oliveira ESB de, Wang X, Bazán Guzmán JL. A classification model for continuous responses: identifying risk perception groups on health-related activities [Internet]. Biometrical Journal. 2023 ; 65( 4): 1-22.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202100222
Artigo de periodico
Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment (2023)
Brien, Christopher James ; Sermarini, Renata Alcarde ; Demétrio, Clarice Garcia Borges
Source: Biometrical Journal. Unidade: ESALQ
Subjects: DELINEAMENTO EXPERIMENTAL, MEDIDAS REPETIDAS, MODELOS MATEMÁTICOS, PLANEJAMENTO E ANÁLISE DE EXPERIMENTOS
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ABNT
BRIEN, Christopher James e SERMARINI, Renata Alcarde e DEMÉTRIO, Clarice Garcia Borges. Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment. Biometrical Journal, p. 1-25, 2023Tradução . . Disponível em: https://doi.org/10.1002/bimj.202200284. Acesso em: 19 abr. 2024.
APA
Brien, C. J., Sermarini, R. A., & Demétrio, C. G. B. (2023). Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment. Biometrical Journal, 1-25. doi:10.1002/bimj.202200284
NLM
Brien CJ, Sermarini RA, Demétrio CGB. Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment [Internet]. Biometrical Journal. 2023 ; 1-25.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202200284
Vancouver
Brien CJ, Sermarini RA, Demétrio CGB. Exposing the confounding in experimental designs to understand and evaluate them, and formulating linear mixed models for analyzing the data from a designed experiment [Internet]. Biometrical Journal. 2023 ; 1-25.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202200284
Artigo de periodico
Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long-term su: application to a lung cancer dataset (2022)
Gazon, Amanda Buosi ; Milani, Eder Angelo ; Mota, Alex Leal ; Louzada, Francisco ; Tomazella, Vera Lucia Damasceno ; Calsavara, Vinicius Fernando
Source: Biometrical Journal. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: NEOPLASIAS PULMONARES, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
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ABNT
GAZON, Amanda Buosi 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, v. 64, n. 1, p. 105-130, 2022Tradução . . Disponível em: https://doi.org/10.1002/bimj.202000292. Acesso em: 19 abr. 2024.
APA
Gazon, A. B., Milani, E. A., Mota, A. L., Louzada, 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 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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000292
Vancouver
Gazon AB, Milani EA, Mota AL, Louzada 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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000292
Artigo de periodico
Type I multivariate zero-inflated COM-Poisson regression model (2022)
Santana, Rogerio Alves ; Conceição, Katiane Silva ; Diniz, Carlos Alberto Ribeiro ; Andrade, Marinho Gomes de
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 et al. Type I multivariate zero-inflated COM-Poisson regression model. Biometrical Journal, v. 64, n. 3, p. 481-505, 2022Tradução . . Disponível em: https://doi.org/10.1002/bimj.202000249. Acesso em: 19 abr. 2024.
APA
Santana, R. A., Conceição, K. S., Diniz, C. A. R., & Andrade, 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 MG de. Type I multivariate zero-inflated COM-Poisson regression model [Internet]. Biometrical Journal. 2022 ; 64( 3): 481-505.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000249
Vancouver
Santana RA, Conceição KS, Diniz CAR, Andrade MG de. Type I multivariate zero-inflated COM-Poisson regression model [Internet]. Biometrical Journal. 2022 ; 64( 3): 481-505.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000249
Artigo de periodico
Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data (2021)
Morán‐Vásquez, Raúl Alejandro ; Mazo‐Lopera, Mauricio Alejandro ; Ferrari, Sílvia Lopes de Paula
Source: Biometrical Journal. Unidade: IME
Subjects: REGRESSÃO LINEAR, DISTRIBUIÇÕES (PROBABILIDADE)
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ABNT
MORÁN‐VÁSQUEZ, Raúl Alejandro e MAZO‐LOPERA, Mauricio Alejandro e FERRARI, Sílvia Lopes de Paula. Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data. Biometrical Journal, v. 63, p. 1290-1308, 2021Tradução . . Disponível em: https://doi.org/10.1002/bimj.202000200. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] 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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000200
Artigo de periodico
A new mixed-effects regression model for the analysis of zero-modified hierarchical count data (2021)
Silva, Wesley Bertoli da ; Conceição, Katiane Silva ; Andrade, Marinho Gomes de ; Louzada, Francisco
Source: Biometrical Journal. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO
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ABNT
SILVA, Wesley Bertoli da et al. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal, v. 63, p. 81-104, 2021Tradução . . Disponível em: https://doi.org/10.1002/bimj.202000046. Acesso em: 19 abr. 2024.
APA
Silva, W. B. da, Conceição, K. S., Andrade, M. G. de, & Louzada, 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 MG de, Louzada F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2021 ; 63 81-104.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000046
Vancouver
Silva WB da, Conceição KS, Andrade MG de, Louzada F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2021 ; 63 81-104.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.202000046
Artigo de periodico
A generalized transition model for grouped longitudinal categorical data (2020)
Lara, Idemauro Antonio Rodrigues de ; Moral, Rafael A; Taconeli, Cesar A; Reigada, Carolina; Hinde, John
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 et al. A generalized transition model for grouped longitudinal categorical data. Biometrical Journal, p. 1-21, 2020Tradução . . Disponível em: https://doi.org/10.1002/bimj.201900394. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] 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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201900394
Artigo de periodico
Mixture and nonmixture cure fraction models assuming discrete lifetimes: application to a pelvic sarcoma dataset (2019)
Oliveira, Ricardo Puziol de ; Menezes, André F. B. ; Mazucheli, Josmar ; Achcar, Jorge Alberto
Source: Biometrical Journal. Unidade: FMRP
Subjects: SARCOMA, PACIENTES, CURA
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ABNT
OLIVEIRA, Ricardo Puziol de et al. Mixture and nonmixture cure fraction models assuming discrete lifetimes: application to a pelvic sarcoma dataset. Biometrical Journal, v. 61, n. 4, p. 813-826, 2019Tradução . . Disponível em: https://doi.org/10.1002/bimj.201800030. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201800030
Artigo de periodico
Defective regression models for cure rate modeling with interval-censored data (2019)
Calsavara, Vinicius Fernando ; Rodrigues, Agatha Sacramento ; Rocha, Ricardo; Tomazella, Vera ; Louzada, Francisco
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 et al. Defective regression models for cure rate modeling with interval-censored data. Biometrical Journal, v. 61, n. 4, p. 841-859, 2019Tradução . . Disponível em: https://doi.org/10.1002/bimj.201800056. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201800056
Artigo de periodico
Estimating the DINA model parameters using the No‐U‐Turn Sampler (2018)
Silva, Marcelo A. da; Oliveira, Eduardo S. B. de; Davier, Alina A. von; Bazán Guzmán, Jorge Luis
Source: Biometrical Journal. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA
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ABNT
SILVA, Marcelo A. da et al. Estimating the DINA model parameters using the No‐U‐Turn Sampler. Biometrical Journal, v. 60, n. 2, p. 352-368, 2018Tradução . . Disponível em: https://doi.org/10.1002/bimj.201600225. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201600225
Artigo de periodico
A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests (2017)
Simoneau, Gabrielle; Levis, Brooke; Cuijpers, Pim; Ioannidis, John P.; Patten, Scott B.; Shrier, Ian; Bombardier, Charles H.; Osório, Flávia de Lima
Source: Biometrical Journal. Unidade: FMRP
Assunto: DIAGNÓSTICO POR COMPUTADOR
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ABNT
SIMONEAU, Gabrielle 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, v. 59, n. 6, p. 1317-1338, 2017Tradução . . Disponível em: https://doi.org/10.1002/bimj.201600184. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201600184
Artigo de periodico
Quantifying intraclass correlations for count and time-to-event data (2016)
Oliveira, Izabela Regina Cardoso de; Molenberghs, Geert; Demétrio, Clarice Garcia Borges ; Dias, Carlos Tadeu dos Santos ; Giolo, Suely R; Andrade, Marcela C
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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ABNT
OLIVEIRA, Izabela Regina Cardoso de et al. Quantifying intraclass correlations for count and time-to-event data. Biometrical Journal, v. 58, n. 4, p. 852-867, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500093. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201500093
Artigo de periodico
Relaxed Poisson cure rate models (2016)
Rodrigues, Josemar; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy
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 et al. Relaxed Poisson cure rate models. Biometrical Journal, v. 58, n. 2, p. 397-415, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500051. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201500051
Artigo de periodico
New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions (2016)
Lemonte, Artur J; Bazán Guzmán, Jorge Luis
Source: Biometrical Journal. Unidade: ICMC
Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA
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ABNT
LEMONTE, Artur J e BAZÁN GUZMÁN, Jorge Luis. New class of Johnson 'S IND. B' distributions and its associated regression model for rates and proportions. Biometrical Journal, v. 58, n. 4, p. 727–746, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500030. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201500030
Artigo de periodico
Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction (2016)
Gupta, Cherry; Cobre, Juliana ; Campos, Adriano Polpo de; Sinha, Debjayoti
Source: Biometrical Journal. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUPTA, Cherry et al. Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction. Biometrical Journal, v. 58, n. 5, p. 1164-1177, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500111. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201500111
Artigo de periodico
The exponential-Poisson model for recurrent event data: an application to a set of data on malaria in Brazil (2015)
Macera, Marcia A. C; Louzada, Francisco ; Cancho, Vicente Garibay ; Fontes, Cor J. F
Source: Biometrical Journal. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACERA, Marcia A. C et al. The exponential-Poisson model for recurrent event data: an application to a set of data on malaria in Brazil. Biometrical Journal, v. 57, n. 2, p. 201-214, 2015Tradução . . Disponível em: https://doi.org/10.1002/bimj.201300116. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201300116
Artigo de periodico
Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory (2013)
Fragoso, Tiago M; Cúri, Mariana
Source: Biometrical Journal. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FRAGOSO, Tiago M e CÚRI, Mariana. Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory. Biometrical Journal, v. 55, n. 4, p. 527\2013540, 2013Tradução . . Disponível em: https://doi.org/10.1002/bimj.201200197. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201200197
Artigo de periodico
Asymmetric regression models with limited responses with an application to antibody response to vaccine (2013)
Martínez-Flórez, Guillermo; Bolfarine, Heleno ; Gómez, Hector W
Source: Biometrical Journal. Unidade: IME
Assunto: MODELOS (ANÁLISE MULTIVARIADA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTÍNEZ-FLÓREZ, Guillermo e BOLFARINE, Heleno e GÓMEZ, Hector W. Asymmetric regression models with limited responses with an application to antibody response to vaccine. Biometrical Journal, v. 55, n. 2, p. 156-172, 2013Tradução . . Disponível em: https://doi.org/10.1002/bimj.201100116. Acesso em: 19 abr. 2024.
APA
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.[citado 2024 abr. 19 ] Available from: https://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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201100116
Artigo de periodico
Zero-modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data (2013)
Conceição, Katiane Silva ; Andrade, Marinho Gomes de ; Louzada, Francisco
Source: Biometrical Journal. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONCEIÇÃO, Katiane Silva e ANDRADE, Marinho Gomes de e LOUZADA, Francisco. Zero-modified Poisson model: Bayesian approach, influence diagnostics, and an application to a Brazilian leptospirosis notification data. Biometrical Journal, v. 55, n. 5, p. 661-678, 2013Tradução . . Disponível em: https://doi.org/10.1002/bimj.201100175. Acesso em: 19 abr. 2024.
APA
Conceição, K. S., Andrade, 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 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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201100175
Vancouver
Conceição KS, Andrade 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.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1002/bimj.201100175

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