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Artigo de periodico
A robust regression model for bounded count health data (2024)
Bayes, Cristian L ; Bazán Guzmán, Jorge Luis ; Valdivieso, Luis
Source: Statistical Methods in Medical Research. Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ROBUSTEZ, VEROSSIMILHANÇA
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ABNT
BAYES, Cristian L e BAZÁN GUZMÁN, Jorge Luis e VALDIVIESO, Luis. A robust regression model for bounded count health data. Statistical Methods in Medical Research, v. 33, n. 8, p. 1392-1411, 2024Tradução . . Disponível em: https://doi.org/10.1177/09622802241259178. Acesso em: 08 out. 2025.
APA
Bayes, C. L., Bazán Guzmán, J. L., & Valdivieso, L. (2024). A robust regression model for bounded count health data. Statistical Methods in Medical Research, 33( 8), 1392-1411. doi:10.1177/09622802241259178
NLM
Bayes CL, Bazán Guzmán JL, Valdivieso L. A robust regression model for bounded count health data [Internet]. Statistical Methods in Medical Research. 2024 ; 33( 8): 1392-1411.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/09622802241259178
Vancouver
Bayes CL, Bazán Guzmán JL, Valdivieso L. A robust regression model for bounded count health data [Internet]. Statistical Methods in Medical Research. 2024 ; 33( 8): 1392-1411.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/09622802241259178
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
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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
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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
On the use of the modified power series family of distributions in a cure rate model context (2020)
Mateluna, Diego Ignacio Gallardo ; Gomez, Yolanda Magaly ; Gómez, Héctor W ; Castro, Mário de
Source: Statistical Methods in Medical Research. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, ALGORITMOS ÚTEIS E ESPECÍFICOS, DISTRIBUIÇÕES (PROBABILIDADE), VEROSSIMILHANÇA
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ABNT
MATELUNA, Diego Ignacio Gallardo et al. On the use of the modified power series family of distributions in a cure rate model context. Statistical Methods in Medical Research, v. 29, n. 7, p. 1831-1845, 2020Tradução . . Disponível em: https://doi.org/10.1177/0962280219876962. Acesso em: 08 out. 2025.
APA
Mateluna, D. I. G., Gomez, Y. M., Gómez, H. W., & Castro, M. de. (2020). On the use of the modified power series family of distributions in a cure rate model context. Statistical Methods in Medical Research, 29( 7), 1831-1845. doi:10.1177/0962280219876962
NLM
Mateluna DIG, Gomez YM, Gómez HW, Castro M de. On the use of the modified power series family of distributions in a cure rate model context [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 7): 1831-1845.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219876962
Vancouver
Mateluna DIG, Gomez YM, Gómez HW, Castro M de. On the use of the modified power series family of distributions in a cure rate model context [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 7): 1831-1845.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219876962
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
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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
The Spike-and-Slab Lasso regression modeling with compositional covariates: an application on Brazilian children malnutrition data (2020)
Louzada, Francisco ; Shimizu, Taciana Kisaki Oliveira; Suzuki, Adriano Kamimura
Source: Statistical Methods in Medical Research. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: ANÁLISE DE SOBREVIVÊNCIA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
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ABNT
LOUZADA, Francisco e SHIMIZU, Taciana Kisaki Oliveira e SUZUKI, Adriano Kamimura. The Spike-and-Slab Lasso regression modeling with compositional covariates: an application on Brazilian children malnutrition data. Statistical Methods in Medical Research, v. 29, n. 5, p. 1434-1446, 2020Tradução . . Disponível em: https://doi.org/10.1177/0962280219863817. Acesso em: 08 out. 2025.
APA
Louzada, F., Shimizu, T. K. O., & Suzuki, A. K. (2020). The Spike-and-Slab Lasso regression modeling with compositional covariates: an application on Brazilian children malnutrition data. Statistical Methods in Medical Research, 29( 5), 1434-1446. doi:10.1177/0962280219863817
NLM
Louzada F, Shimizu TKO, Suzuki AK. The Spike-and-Slab Lasso regression modeling with compositional covariates: an application on Brazilian children malnutrition data [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 5): 1434-1446.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219863817
Vancouver
Louzada F, Shimizu TKO, Suzuki AK. The Spike-and-Slab Lasso regression modeling with compositional covariates: an application on Brazilian children malnutrition data [Internet]. Statistical Methods in Medical Research. 2020 ; 29( 5): 1434-1446.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280219863817
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
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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
A new survival model with surviving fraction: an application to colorectal cancer data (2019)
Barriga, Gladys Dorotea Cacsire ; Cancho, Vicente Garibay ; Garibay, Daniel V; Cordeiro, Gauss M; Ortega, Edwin Moisés Marcos
Source: Statistical Methods in Medical Research. Unidades: ICMC, ESALQ
Subjects: ALGORITMOS, ANÁLISE DE SOBREVIVÊNCIA, MODELOS MATEMÁTICOS, NEOPLASIAS COLORRETAIS, VEROSSIMILHANÇA
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ABNT
BARRIGA, Gladys Dorotea Cacsire et al. A new survival model with surviving fraction: an application to colorectal cancer data. Statistical Methods in Medical Research, v. 28, n. 9, p. 2665-2680, 2019Tradução . . Disponível em: https://doi.org/10.1177/0962280218786053. Acesso em: 08 out. 2025.
APA
Barriga, G. D. C., Cancho, V. G., Garibay, D. V., Cordeiro, G. M., & Ortega, E. M. M. (2019). A new survival model with surviving fraction: an application to colorectal cancer data. Statistical Methods in Medical Research, 28( 9), 2665-2680. doi:10.1177/0962280218786053
NLM
Barriga GDC, Cancho VG, Garibay DV, Cordeiro GM, Ortega EMM. A new survival model with surviving fraction: an application to colorectal cancer data [Internet]. Statistical Methods in Medical Research. 2019 ; 28( 9): 2665-2680.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280218786053
Vancouver
Barriga GDC, Cancho VG, Garibay DV, Cordeiro GM, Ortega EMM. A new survival model with surviving fraction: an application to colorectal cancer data [Internet]. Statistical Methods in Medical Research. 2019 ; 28( 9): 2665-2680.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280218786053
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
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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
On the comparison of risk od death according to different stages of breast cancer via the long-term exponetiated Weibull hazard model (2018)
Souza, Hayala Cristina Cavenague de; Perdoná, Gleici da Silva Castro; Louzada, Francisco ; Peria, Fernanda Maris
Source: Statistical Methods in Medical Research. Unidades: FMRP, ICMC
Subjects: NEOPLASIAS MAMÁRIAS, SOBREVIDA, ANÁLISE DE SOBREVIVÊNCIA, RISCO, SIMULAÇÃO (ESTATÍSTICA), DISTRIBUIÇÕES (PROBABILIDADE)
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ABNT
SOUZA, Hayala Cristina Cavenague de et al. On the comparison of risk od death according to different stages of breast cancer via the long-term exponetiated Weibull hazard model. Statistical Methods in Medical Research, v. 27, n. 7, p. 2024-2037, 2018Tradução . . Disponível em: https://doi.org/10.1177/0962280216673245. Acesso em: 08 out. 2025.
APA
Souza, H. C. C. de, Perdoná, G. da S. C., Louzada, F., & Peria, F. M. (2018). On the comparison of risk od death according to different stages of breast cancer via the long-term exponetiated Weibull hazard model. Statistical Methods in Medical Research, 27( 7), 2024-2037. doi:10.1177/0962280216673245
NLM
Souza HCC de, Perdoná G da SC, Louzada F, Peria FM. On the comparison of risk od death according to different stages of breast cancer via the long-term exponetiated Weibull hazard model [Internet]. Statistical Methods in Medical Research. 2018 ; 27( 7): 2024-2037.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280216673245
Vancouver
Souza HCC de, Perdoná G da SC, Louzada F, Peria FM. On the comparison of risk od death according to different stages of breast cancer via the long-term exponetiated Weibull hazard model [Internet]. Statistical Methods in Medical Research. 2018 ; 27( 7): 2024-2037.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280216673245
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
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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
Bayesian cure rate models induced by frailty in survival analysis (2017)
Santos, Daiane de Souza ; Cancho, Vicente Garibay ; Rodrigues, Josemar ; Balakrishnan, Narayanaswamy
Source: Statistical Methods in Medical Research. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
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ABNT
SANTOS, Daiane de Souza et al. Bayesian cure rate models induced by frailty in survival analysis. Statistical Methods in Medical Research, v. 26, n. 5, p. 2011-2028, 2017Tradução . . Disponível em: https://doi.org/10.1177/0962280217708671. Acesso em: 08 out. 2025.
APA
Santos, D. de S., Cancho, V. G., Rodrigues, J., & Balakrishnan, N. (2017). Bayesian cure rate models induced by frailty in survival analysis. Statistical Methods in Medical Research, 26( 5), 2011-2028. doi:10.1177/0962280217708671
NLM
Santos D de S, Cancho VG, Rodrigues J, Balakrishnan N. Bayesian cure rate models induced by frailty in survival analysis [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 5): 2011-2028.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280217708671
Vancouver
Santos D de S, Cancho VG, Rodrigues J, Balakrishnan N. Bayesian cure rate models induced by frailty in survival analysis [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 5): 2011-2028.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280217708671
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
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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 gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units (2017)
Louzada, Francisco ; Macera, Márcia Aparecida Centanin ; Cancho, Vicente Garibay
Source: Statistical Methods in Medical Research. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
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ABNT
LOUZADA, Francisco e MACERA, Márcia Aparecida Centanin e CANCHO, Vicente Garibay. A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units. Statistical Methods in Medical Research, v. 26, n. 5, p. 2000-2010, 2017Tradução . . Disponível em: https://doi.org/10.1177/0962280217708669. Acesso em: 08 out. 2025.
APA
Louzada, F., Macera, M. A. C., & Cancho, V. G. (2017). A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units. Statistical Methods in Medical Research, 26( 5), 2000-2010. doi:10.1177/0962280217708669
NLM
Louzada F, Macera MAC, Cancho VG. A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 5): 2000-2010.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280217708669
Vancouver
Louzada F, Macera MAC, Cancho VG. A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 5): 2000-2010.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280217708669
Artigo de periodico
A cure rate survival model under a hybrid latent activation scheme (2016)
Borges, Patrick; Rodrigues, Josemar ; Louzada, Francisco ; Balakrishnan, Narayanaswamy
Source: Statistical Methods in Medical Research. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORGES, Patrick et al. A cure rate survival model under a hybrid latent activation scheme. Statistical Methods in Medical Research, v. 25, n. 2, p. 838-856, 2016Tradução . . Disponível em: https://doi.org/10.1177/0962280212469682. Acesso em: 08 out. 2025.
APA
Borges, P., Rodrigues, J., Louzada, F., & Balakrishnan, N. (2016). A cure rate survival model under a hybrid latent activation scheme. Statistical Methods in Medical Research, 25( 2), 838-856. doi:10.1177/0962280212469682
NLM
Borges P, Rodrigues J, Louzada F, Balakrishnan N. A cure rate survival model under a hybrid latent activation scheme [Internet]. Statistical Methods in Medical Research. 2016 ; 25( 2): 838-856.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280212469682
Vancouver
Borges P, Rodrigues J, Louzada F, Balakrishnan N. A cure rate survival model under a hybrid latent activation scheme [Internet]. Statistical Methods in Medical Research. 2016 ; 25( 2): 838-856.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280212469682
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
Artigo de periodico
A Bayesian destructive weighted Poisson cure rate model and an application to a cutaneous melanoma data (2012)
Rodrigues, Josemar ; Cancho, Vicente Garibay ; Castro, Mário de ; Balakrishnan, N
Source: Statistical Methods in Medical Research. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. A Bayesian destructive weighted Poisson cure rate model and an application to a cutaneous melanoma data. Statistical Methods in Medical Research, v. 21, n. 6, p. 585-597, 2012Tradução . . Disponível em: https://doi.org/10.1177/0962280210391443. Acesso em: 08 out. 2025.
APA
Rodrigues, J., Cancho, V. G., Castro, M. de, & Balakrishnan, N. (2012). A Bayesian destructive weighted Poisson cure rate model and an application to a cutaneous melanoma data. Statistical Methods in Medical Research, 21( 6), 585-597. doi:10.1177/0962280210391443
NLM
Rodrigues J, Cancho VG, Castro M de, Balakrishnan N. A Bayesian destructive weighted Poisson cure rate model and an application to a cutaneous melanoma data [Internet]. Statistical Methods in Medical Research. 2012 ; 21( 6): 585-597.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280210391443
Vancouver
Rodrigues J, Cancho VG, Castro M de, Balakrishnan N. A Bayesian destructive weighted Poisson cure rate model and an application to a cutaneous melanoma data [Internet]. Statistical Methods in Medical Research. 2012 ; 21( 6): 585-597.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280210391443
Artigo de periodico
A model for psychiatric questionnaires with embarrassing items (2011)
Cúri, Mariana ; Singer, Júlio da Motta ; Dalton Francisco de Andrade
Source: Statistical Methods in Medical Research. Unidades: ICMC, IME
Subjects: AVALIAÇÃO DA APRENDIZAGEM, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CÚRI, Mariana e SINGER, Júlio da Motta e DALTON FRANCISCO DE ANDRADE,. A model for psychiatric questionnaires with embarrassing items. Statistical Methods in Medical Research, v. 20, n. 5, p. 451-470, 2011Tradução . . Disponível em: https://doi.org/10.1177/0962280210369424. Acesso em: 08 out. 2025.
APA
Cúri, M., Singer, J. da M., & Dalton Francisco de Andrade,. (2011). A model for psychiatric questionnaires with embarrassing items. Statistical Methods in Medical Research, 20( 5), 451-470. doi:10.1177/0962280210369424
NLM
Cúri M, Singer J da M, Dalton Francisco de Andrade. A model for psychiatric questionnaires with embarrassing items [Internet]. Statistical Methods in Medical Research. 2011 ; 20( 5): 451-470.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280210369424
Vancouver
Cúri M, Singer J da M, Dalton Francisco de Andrade. A model for psychiatric questionnaires with embarrassing items [Internet]. Statistical Methods in Medical Research. 2011 ; 20( 5): 451-470.[citado 2025 out. 08 ] Available from: https://doi.org/10.1177/0962280210369424

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