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Artigo de periodico
A new cure rate regression framework for bivariate data based on the Chen distribution (2022)
Oliveira, Ricardo Puziol de; Peres, Marcos Vinicius de Oliveira; Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto
Source: Statistical Methods in Medical Research. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, CURA, PROBABILIDADE, ESTUDOS RETROSPECTIVOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Ricardo Puziol de et al. A new cure rate regression framework for bivariate data based on the Chen distribution. Statistical Methods in Medical Research, v. 31, n. 12, p. 2442-2455, 2022Tradução . . Disponível em: https://doi.org/10.1177/09622802221122418. Acesso em: 08 out. 2025.
APA
Oliveira, R. P. de, Peres, M. V. de O., Martinez, E. Z., & Achcar, J. A. (2022). A new cure rate regression framework for bivariate data based on the Chen distribution. Statistical Methods in Medical Research, 31( 12), 2442-2455. doi:10.1177/09622802221122418
NLM
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. A new cure rate regression framework for bivariate data based on the Chen distribution [Internet]. Statistical Methods in Medical Research. 2022 ; 31( 12): 2442-2455.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/09622802221122418
Vancouver
Oliveira RP de, Peres MV de O, Martinez EZ, Achcar JA. A new cure rate regression framework for bivariate data based on the Chen distribution [Internet]. Statistical Methods in Medical Research. 2022 ; 31( 12): 2442-2455.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/09622802221122418
Artigo de periodico
Survival models induced by zero-modified power series discrete frailty: application with a melanoma data set (2021)
Molina, Katy Rocio Cruz ; Calsavara, Vinicius Fernando ; Tomazella, Vera Lucia Damasceno ; Milani, Eder Angelo
Source: Statistical Methods in Medical Research. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: ANÁLISE DE SOBREVIVÊNCIA, VEROSSIMILHANÇA, MÉTODO DE MONTE CARLO, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOLINA, Katy Rocio Cruz et al. Survival models induced by zero-modified power series discrete frailty: application with a melanoma data set. Statistical Methods in Medical Research, v. 30, n. 8, p. 1874-1889, 2021Tradução . . Disponível em: https://doi.org/10.1177/09622802211011187. Acesso em: 08 out. 2025.
APA
Molina, K. R. C., Calsavara, V. F., Tomazella, V. L. D., & Milani, E. A. (2021). Survival models induced by zero-modified power series discrete frailty: application with a melanoma data set. Statistical Methods in Medical Research, 30( 8), 1874-1889. doi:10.1177/09622802211011187
NLM
Molina KRC, Calsavara VF, Tomazella VLD, Milani EA. Survival models induced by zero-modified power series discrete frailty: application with a melanoma data set [Internet]. Statistical Methods in Medical Research. 2021 ; 30( 8): 1874-1889.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/09622802211011187
Vancouver
Molina KRC, Calsavara VF, Tomazella VLD, Milani EA. Survival models induced by zero-modified power series discrete frailty: application with a melanoma data set [Internet]. Statistical Methods in Medical Research. 2021 ; 30( 8): 1874-1889.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/09622802211011187
Artigo de periodico
Random changepoint segmented regression with smooth transition (2021)
Singer, Júlio da Motta ; Rocha, Francisco Marcelo Monteiro da ; Lima, Antonio Carlos Pedroso de ; Silva, Giovani Loiola da ; Coatti, Giuliana Castello ; Zatz, Mayana
Source: Statistical Methods in Medical Research. Unidades: IME, IB
Subjects: ESCLEROSE AMIOTRÓFICA LATERAL, BIOESTATÍSTICA, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR
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ABNT
SINGER, Júlio da Motta et al. Random changepoint segmented regression with smooth transition. Statistical Methods in Medical Research, v. 30, n. 3, p. 643-654, 2021Tradução . . Disponível em: https://doi.org/10.1177/0962280220964953. Acesso em: 08 out. 2025.
APA
Singer, J. da M., Rocha, F. M. M. da, Lima, A. C. P. de, Silva, G. L. da, Coatti, G. C., & Zatz, M. (2021). Random changepoint segmented regression with smooth transition. Statistical Methods in Medical Research, 30( 3), 643-654. doi:10.1177/0962280220964953
NLM
Singer J da M, Rocha FMM da, Lima ACP de, Silva GL da, Coatti GC, Zatz M. Random changepoint segmented regression with smooth transition [Internet]. Statistical Methods in Medical Research. 2021 ; 30( 3): 643-654.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280220964953
Vancouver
Singer J da M, Rocha FMM da, Lima ACP de, Silva GL da, Coatti GC, Zatz M. Random changepoint segmented regression with smooth transition [Internet]. Statistical Methods in Medical Research. 2021 ; 30( 3): 643-654.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280220964953
Artigo de periodico
A Bayesian analysis for pseudo-compositional data with spatial structure (2020)
Martinez, Edson Zangiacomi ; Achcar, Jorge Alberto ; Aragon, Davi Casale ; Brunherotti, Marisa Afonso de Andrade
Source: Statistical Methods in Medical Research. Unidade: FMRP
Subjects: ANÁLISE DE DADOS, ESTRUTURA SOCIAL, EPIDEMIOLOGIA, POBREZA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINEZ, Edson Zangiacomi et al. A Bayesian analysis for pseudo-compositional data with spatial structure. Statistical Methods in Medical Research, v. 29, n. 5, p. 1386-1402, 2020Tradução . . Disponível em: https://doi.org/10.1177/0962280219862587. Acesso em: 08 out. 2025.
APA
Martinez, E. Z., Achcar, J. A., Aragon, D. C., & Brunherotti, M. A. de A. (2020). A Bayesian analysis for pseudo-compositional data with spatial structure. Statistical Methods in Medical Research, 29( 5), 1386-1402. doi:10.1177/0962280219862587
NLM
Martinez EZ, Achcar JA, Aragon DC, Brunherotti MA de A. A Bayesian analysis for pseudo-compositional data with spatial structure [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 5): 1386-1402.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219862587
Vancouver
Martinez EZ, Achcar JA, Aragon DC, Brunherotti MA de A. A Bayesian analysis for pseudo-compositional data with spatial structure [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 5): 1386-1402.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219862587
Artigo de periodico
Bayesian diagnostic analysis for quantitative trait loci mapping (2020)
Zuanetti, Daiane Aparecida ; Soler, Júlia Maria Pavan ; Krieger, José Eduardo ; Milan, Luis Aparecido
Source: Statistical Methods in Medical Research. Unidades: IME, FM
Assunto: INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZUANETTI, Daiane Aparecida et al. Bayesian diagnostic analysis for quantitative trait loci mapping. Statistical Methods in Medical Research, v. 29, n. 8, p. 2238-2249, 2020Tradução . . Disponível em: https://doi.org/10.1177/0962280219888950. Acesso em: 08 out. 2025.
APA
Zuanetti, D. A., Soler, J. M. P., Krieger, J. E., & Milan, L. A. (2020). Bayesian diagnostic analysis for quantitative trait loci mapping. Statistical Methods in Medical Research, 29( 8), 2238-2249. doi:10.1177/0962280219888950
NLM
Zuanetti DA, Soler JMP, Krieger JE, Milan LA. Bayesian diagnostic analysis for quantitative trait loci mapping [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 8): 2238-2249.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219888950
Vancouver
Zuanetti DA, Soler JMP, Krieger JE, Milan LA. Bayesian diagnostic analysis for quantitative trait loci mapping [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 8): 2238-2249.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219888950
Artigo de periodico
CUSUM chart to monitor autocorrelated counts using negative binomial GARMA model (2018)
Esparza Albarracin, Orlando Yesid ; Alencar, Airlane Pereira ; Ho, Linda Lee
Source: Statistical Methods in Medical Research. Unidades: IME, EP
Subjects: ESTATÍSTICA APLICADA, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPARZA ALBARRACIN, Orlando Yesid e ALENCAR, Airlane Pereira e HO, Linda Lee. CUSUM chart to monitor autocorrelated counts using negative binomial GARMA model. Statistical Methods in Medical Research, v. 27, n. 9, p. 2859–2871, 2018Tradução . . Disponível em: https://doi.org/10.1177/0962280216686627. Acesso em: 08 out. 2025.
APA
Esparza Albarracin, O. Y., Alencar, A. P., & Ho, L. L. (2018). CUSUM chart to monitor autocorrelated counts using negative binomial GARMA model. Statistical Methods in Medical Research, 27( 9), 2859–2871. doi:10.1177/0962280216686627
NLM
Esparza Albarracin OY, Alencar AP, Ho LL. CUSUM chart to monitor autocorrelated counts using negative binomial GARMA model [Internet]. Statistical Methods in Medical Research. 2018 ; 27( 9): 2859–2871.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280216686627
Vancouver
Esparza Albarracin OY, Alencar AP, Ho LL. CUSUM chart to monitor autocorrelated counts using negative binomial GARMA model [Internet]. Statistical Methods in Medical Research. 2018 ; 27( 9): 2859–2871.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280216686627
Artigo de periodico
Predicting the cure rate of breast cancer using a new regression model with four regression structures (2018)
Ramires, Thiago Gentil ; Cordeiro, Gauss M; Kattan, Michael W; Hens, Niel; Ortega, Edwin Moisés Marcos
Source: Statistical Methods in Medical Research. Unidade: ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, MODELOS MATEMÁTICOS, NEOPLASIAS MAMÁRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMIRES, Thiago Gentil et al. Predicting the cure rate of breast cancer using a new regression model with four regression structures. Statistical Methods in Medical Research, v. 27 n. 11 , p. 3207-3223, 2018Tradução . . Disponível em: https://doi.org/10.1177/0962280217695344. Acesso em: 08 out. 2025.
APA
Ramires, T. G., Cordeiro, G. M., Kattan, M. W., Hens, N., & Ortega, E. M. M. (2018). Predicting the cure rate of breast cancer using a new regression model with four regression structures. Statistical Methods in Medical Research, 27 n. 11 , 3207-3223. doi:10.1177/0962280217695344
NLM
Ramires TG, Cordeiro GM, Kattan MW, Hens N, Ortega EMM. Predicting the cure rate of breast cancer using a new regression model with four regression structures [Internet]. Statistical Methods in Medical Research. 2018 ; 27 n. 11 3207-3223.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280217695344
Vancouver
Ramires TG, Cordeiro GM, Kattan MW, Hens N, Ortega EMM. Predicting the cure rate of breast cancer using a new regression model with four regression structures [Internet]. Statistical Methods in Medical Research. 2018 ; 27 n. 11 3207-3223.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280217695344
Artigo de periodico
Simple linear regression with interval censored dependent and independent variables (2018)
Taga, Marcel Frederico de Lima; Singer, Júlio da Motta
Source: Statistical Methods in Medical Research. Unidade: IME
Subjects: REGRESSÃO LINEAR, DADOS CENSURADOS
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ABNT
TAGA, Marcel Frederico de Lima e SINGER, Júlio da Motta. Simple linear regression with interval censored dependent and independent variables. Statistical Methods in Medical Research, v. 27, n. 1, p. 198-207, 2018Tradução . . Disponível em: https://doi.org/10.1177/0962280215626467. Acesso em: 08 out. 2025.
APA
Taga, M. F. de L., & Singer, J. da M. (2018). Simple linear regression with interval censored dependent and independent variables. Statistical Methods in Medical Research, 27( 1), 198-207. doi:10.1177/0962280215626467
NLM
Taga MF de L, Singer J da M. Simple linear regression with interval censored dependent and independent variables [Internet]. Statistical Methods in Medical Research. 2018 ; 27( 1): 198-207.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280215626467
Vancouver
Taga MF de L, Singer J da M. Simple linear regression with interval censored dependent and independent variables [Internet]. Statistical Methods in Medical Research. 2018 ; 27( 1): 198-207.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280215626467
Artigo de periodico
CUSUM control charts to monitor series of Negative Binomial count data (2017)
Alencar, Airlane Pereira ; Ho, Linda Lee ; Esparza Albarracin, Orlando Yesid
Source: Statistical Methods in Medical Research. Unidades: IME, EP
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, BIOESTATÍSTICA, ESTATÍSTICA, SAÚDE PÚBLICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALENCAR, Airlane Pereira e HO, Linda Lee e ESPARZA ALBARRACIN, Orlando Yesid. CUSUM control charts to monitor series of Negative Binomial count data. Statistical Methods in Medical Research, v. 26, n. 4, p. 1925-1935, 2017Tradução . . Disponível em: https://doi.org/10.1177/0962280215592427. Acesso em: 08 out. 2025.
APA
Alencar, A. P., Ho, L. L., & Esparza Albarracin, O. Y. (2017). CUSUM control charts to monitor series of Negative Binomial count data. Statistical Methods in Medical Research, 26( 4), 1925-1935. doi:10.1177/0962280215592427
NLM
Alencar AP, Ho LL, Esparza Albarracin OY. CUSUM control charts to monitor series of Negative Binomial count data [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 4): 1925-1935.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280215592427
Vancouver
Alencar AP, Ho LL, Esparza Albarracin OY. CUSUM control charts to monitor series of Negative Binomial count data [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 4): 1925-1935.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280215592427
Artigo de periodico
A Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed Time-to-event Data (2015)
Molenberghs, Geert; Verbeke, Geert; Efendi, Achmad; Braekers, Roel; Demétrio, Clarice Garcia Borges
Source: Statistical Methods in Medical Research. Unidade: ESALQ
Subjects: MODELOS MATEMÁTICOS, VEROSSIMILHANÇA, ESTATÍSTICA APLICADA, ESTUDOS RANDOMIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOLENBERGHS, Geert et al. A Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed Time-to-event Data. Statistical Methods in Medical Research, v. 24, n. 4, p. 434-452, 2015Tradução . . Disponível em: https://doi.org/10.1177/0962280214520730. Acesso em: 08 out. 2025.
APA
Molenberghs, G., Verbeke, G., Efendi, A., Braekers, R., & Demétrio, C. G. B. (2015). A Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed Time-to-event Data. Statistical Methods in Medical Research, 24( 4), 434-452. doi:10.1177/0962280214520730
NLM
Molenberghs G, Verbeke G, Efendi A, Braekers R, Demétrio CGB. A Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed Time-to-event Data [Internet]. Statistical Methods in Medical Research. 2015 ; 24( 4): 434-452.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280214520730
Vancouver
Molenberghs G, Verbeke G, Efendi A, Braekers R, Demétrio CGB. A Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed Time-to-event Data [Internet]. Statistical Methods in Medical Research. 2015 ; 24( 4): 434-452.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280214520730

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