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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
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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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: INTER: ICMC -UFSCAR
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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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
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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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280219888950
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, INTER: ICMC -UFSCAR
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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280219863817
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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280215592427
Artigo de periodico
Bayesian cure rate models induced by frailty in survival analysis (2017)
Souza, Daiane de; Cancho, Vicente Garibay ; Rodrigues, Josemar; 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
SOUZA, Daiane de 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: 28 abr. 2024.
APA
Souza, D. de, 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
Souza D de, 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 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280217708671
Vancouver
Souza D de, 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 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280217708671
Artigo de periodico
New defective models based on the Kumaraswamy family of distributions with application to cancer data sets (2017)
Rocha, Ricardo; Nadarajah, Saralees; Tomazella, Vera; Louzada, Francisco ; Eudes, Amanda
Source: Statistical Methods in Medical Research. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Ricardo et al. New defective models based on the Kumaraswamy family of distributions with application to cancer data sets. Statistical Methods in Medical Research, v. 26, n. 4, p. 1737-1755, 2017Tradução . . Disponível em: https://doi.org/10.1177/0962280215587976. Acesso em: 28 abr. 2024.
APA
Rocha, R., Nadarajah, S., Tomazella, V., Louzada, F., & Eudes, A. (2017). New defective models based on the Kumaraswamy family of distributions with application to cancer data sets. Statistical Methods in Medical Research, 26( 4), 1737-1755. doi:10.1177/0962280215587976
NLM
Rocha R, Nadarajah S, Tomazella V, Louzada F, Eudes A. New defective models based on the Kumaraswamy family of distributions with application to cancer data sets [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 4): 1737-1755.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280215587976
Vancouver
Rocha R, Nadarajah S, Tomazella V, Louzada F, Eudes A. New defective models based on the Kumaraswamy family of distributions with application to cancer data sets [Internet]. Statistical Methods in Medical Research. 2017 ; 26( 4): 1737-1755.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280215587976
Artigo de periodico
A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units (2017)
Louzada, Francisco ; Macera, Marcia A. C; Cancho, Vicente Garibay
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
LOUZADA, Francisco e MACERA, Marcia A. C 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] 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: 28 abr. 2024.
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 2024 abr. 28 ] 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 2024 abr. 28 ] Available from: https://doi.org/10.1177/0962280210369424

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