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Artigo de periodico
A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data (2024)
Rodrigues, Josemar ; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Source: Journal of Statistical Computation and Simulation. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, SISTEMA IMUNE, NEOPLASIAS COLORRETAIS, FATORES DE RISCO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data. Journal of Statistical Computation and Simulation, v. 94, n. 14, p. 3111-3130, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2368887. Acesso em: 01 nov. 2024.
APA
Rodrigues, J., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2024). A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data. Journal of Statistical Computation and Simulation, 94( 14), 3111-3130. doi:10.1080/00949655.2024.2368887
NLM
Rodrigues J, Cancho VG, Balakrishnan N, Suzuki AK. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 14): 3111-3130.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
Vancouver
Rodrigues J, Cancho VG, Balakrishnan N, Suzuki AK. A bayesian destructive generalized Waring regression cure model with a variance decomposition and application in colorectal cancer data [Internet]. Journal of Statistical Computation and Simulation. 2024 ; 94( 14): 3111-3130.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
Artigo de periodico
A new flexible regression model with application to recovery probability Covid-19 patients (2024)
Prataviera, Fabio ; Hashimoto, Elisabeth Mie ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Vila, Roberto
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: COVID-19, DADOS CENSURADOS, DISTRIBUIÇÕES (PROBABILIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, v. 51, n. 5, p. 826-844, 2024Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2163229. Acesso em: 01 nov. 2024.
APA
Prataviera, F., Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Vila, R. (2024). A new flexible regression model with application to recovery probability Covid-19 patients. Journal of Applied Statistics, 51( 5), 826-844. doi:10.1080/02664763.2022.2163229
NLM
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Vancouver
Prataviera F, Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Vila R. A new flexible regression model with application to recovery probability Covid-19 patients [Internet]. Journal of Applied Statistics. 2024 ; 51( 5): 826-844.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2022.2163229
Artigo de periodico
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil (2023)
Hashimoto, Elisabeth Mie ; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Cancho, Vicente Garibay ; Silva, I
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, DADOS CENSURADOS, MODELOS MATEMÁTICOS, SISTEMA ÚNICO DE SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Elisabeth Mie et al. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, v. 50, n. 8, p. 1665-1685, 2023Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2036707. Acesso em: 01 nov. 2024.
APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Silva, I. (2023). The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. Journal of Applied Statistics, 50( 8), 1665-1685. doi:10.1080/02664763.2022.2036707
NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. Journal of Applied Statistics. 2023 ; 50( 8): 1665-1685.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2022.2036707
Artigo de periodico
Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals (2023)
Rodrigues, Josemar ; Benites, Yuri Rojas; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy ; Suzuki, Adriano Kamimura
Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: DISTRIBUIÇÃO ELÍPTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Josemar et al. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, v. 52, n. 3, p. 918-938, 2023Tradução . . Disponível em: https://doi.org/10.1080/03610926.2021.1933531. Acesso em: 01 nov. 2024.
APA
Rodrigues, J., Benites, Y. R., Cancho, V. G., Balakrishnan, N., & Suzuki, A. K. (2023). Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals. Communications in Statistics - Theory and Methods, 52( 3), 918-938. doi:10.1080/03610926.2021.1933531
NLM
Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Vancouver
Rodrigues J, Benites YR, Cancho VG, Balakrishnan N, Suzuki AK. Bayesian meta-elliptical multivariate regression models with fixed marginals on unit intervals [Internet]. Communications in Statistics - Theory and Methods. 2023 ; 52( 3): 918-938.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Artigo de periodico
A survival regression with cure fraction applied to cervical cancer (2023)
Cancho, Vicente Garibay ; Bedia, Elizbeth Chipa ; Cordeiro, Gauss Moutinho ; Prataviera, Fábio ; Ortega, Edwin Moises Marcos ; Santo, Ana Paula Jorge do Espírito
Source: Computational Statistics. Unidades: ICMC, ESALQ, INTER: ICMC -UFSCAR
Subjects: ALGORITMOS, ANÁLISE DE SOBREVIVÊNCIA, CURA, DISTRIBUIÇÃO DE POISSON, MODELOS MATEMÁTICOS, NEOPLASIAS DO COLO UTERINO, VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANCHO, Vicente Garibay et al. A survival regression with cure fraction applied to cervical cancer. Computational Statistics, v. 38, p. 403-418, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00180-022-01233-4. Acesso em: 01 nov. 2024.
APA
Cancho, V. G., Bedia, E. C., Cordeiro, G. M., Prataviera, F., Ortega, E. M. M., & Santo, A. P. J. do E. (2023). A survival regression with cure fraction applied to cervical cancer. Computational Statistics, 38, 403-418. doi:10.1007/s00180-022-01233-4
NLM
Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
Vancouver
Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
Artigo de periodico
An extension of the partially linear Rice regression model for bimodal and correlated data (2023)
Vasconcelos, Julio Cezar Souza ; Ortega, Edwin Moises Marcos ; Vila, Roberto; Cancho, Vicente Garibay
Source: Brazilian Journal of Probability and Statistics. Unidades: ESALQ, ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÃO LOGÍSTICA, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Julio Cezar Souza et al. An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, v. 37, n. 1, p. 177-194, 2023Tradução . . Disponível em: https://doi.org/10.1214/23-BJPS566. Acesso em: 01 nov. 2024.
APA
Vasconcelos, J. C. S., Ortega, E. M. M., Vila, R., & Cancho, V. G. (2023). An extension of the partially linear Rice regression model for bimodal and correlated data. Brazilian Journal of Probability and Statistics, 37( 1), 177-194. doi:10.1214/23-BJPS566
NLM
Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1214/23-BJPS566
Vancouver
Vasconcelos JCS, Ortega EMM, Vila R, Cancho VG. An extension of the partially linear Rice regression model for bimodal and correlated data [Internet]. Brazilian Journal of Probability and Statistics. 2023 ; 37( 1): 177-194.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1214/23-BJPS566
Artigo de periodico
Reparameterized extended Maxwell regression: properties, estimation and application (2022)
Prataviera, Fabio ; Vila, Roberto; Cancho, Vicente Garibay ; Ortega, Edwin Moises Marcos ; Cordeiro, Gauss M
Source: Communications in Statistics - Theory and Methods. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA), VEROSSIMILHANÇA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRATAVIERA, Fabio et al. Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2022.2042561. Acesso em: 01 nov. 2024.
APA
Prataviera, F., Vila, R., Cancho, V. G., Ortega, E. M. M., & Cordeiro, G. M. (2022). Reparameterized extended Maxwell regression: properties, estimation and application. Communications in Statistics - Theory and Methods, 1-20. doi:10.1080/03610926.2022.2042561
NLM
Prataviera F, Vila R, Cancho VG, Ortega EMM, Cordeiro GM. Reparameterized extended Maxwell regression: properties, estimation and application [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 1-20.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2022.2042561
Vancouver
Prataviera F, Vila R, Cancho VG, Ortega EMM, Cordeiro GM. Reparameterized extended Maxwell regression: properties, estimation and application [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 1-20.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/03610926.2022.2042561
Artigo de periodico
Heteroscedastic log-exponentiated Weibull regression model (2018)
Ortega, Edwin Moisés Marcos ; Lemonte, Artur José; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Mialhe, Fábio L
Source: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MODELOS LINEARES GENERALIZADOS, INFERÊNCIA BAYESIANA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moisés Marcos et al. Heteroscedastic log-exponentiated Weibull regression model. Journal of Applied Statistics, v. 45, n. 3, p. 384-408, 2018Tradução . . Disponível em: https://doi.org/10.1080/02664763.2016.1277192. Acesso em: 01 nov. 2024.
APA
Ortega, E. M. M., Lemonte, A. J., Cordeiro, G. M., Cancho, V. G., & Mialhe, F. L. (2018). Heteroscedastic log-exponentiated Weibull regression model. Journal of Applied Statistics, 45( 3), 384-408. doi:10.1080/02664763.2016.1277192
NLM
Ortega EMM, Lemonte AJ, Cordeiro GM, Cancho VG, Mialhe FL. Heteroscedastic log-exponentiated Weibull regression model [Internet]. Journal of Applied Statistics. 2018 ; 45( 3): 384-408.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2016.1277192
Vancouver
Ortega EMM, Lemonte AJ, Cordeiro GM, Cancho VG, Mialhe FL. Heteroscedastic log-exponentiated Weibull regression model [Internet]. Journal of Applied Statistics. 2018 ; 45( 3): 384-408.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/02664763.2016.1277192
Artigo de periodico
A new class of survival regression models with cure fraction (2014)
Ortega, Edwin Moises Marcos ; Barriga, Gladys D. C; Hashimoto, Elizabeth Mie ; Cancho, Vicente Garibay ; Cordeiro, Gauss M
Source: Journal of Data Science. Unidades: ESALQ, ICMC
Subjects: DISTRIBUIÇÕES (PROBABILIDADE), REGRESSÃO LINEAR, ANÁLISE DE SOBREVIVÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ORTEGA, Edwin Moises Marcos et al. A new class of survival regression models with cure fraction. Journal of Data Science, v. 24, p. 107-136, 2014Tradução . . Disponível em: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf. Acesso em: 01 nov. 2024.
APA
Ortega, E. M. M., Barriga, G. D. C., Hashimoto, E. M., Cancho, V. G., & Cordeiro, G. M. (2014). A new class of survival regression models with cure fraction. Journal of Data Science, 24, 107-136. doi:10.6339/JDS.2014.12(1).1152
NLM
Ortega EMM, Barriga GDC, Hashimoto EM, Cancho VG, Cordeiro GM. A new class of survival regression models with cure fraction [Internet]. Journal of Data Science. 2014 ; 24 107-136.[citado 2024 nov. 01 ] Available from: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf
Vancouver
Ortega EMM, Barriga GDC, Hashimoto EM, Cancho VG, Cordeiro GM. A new class of survival regression models with cure fraction [Internet]. Journal of Data Science. 2014 ; 24 107-136.[citado 2024 nov. 01 ] Available from: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1053.7520&rep=rep1&type=pdf

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