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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
Fonte: Journal of Statistical Computation and Simulation. Unidade: ICMC
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, SISTEMA IMUNE, NEOPLASIAS COLORRETAIS, FATORES DE RISCO
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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, 2024Tradução . . Disponível em: https://doi.org/10.1080/00949655.2024.2368887. Acesso em: 10 ago. 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. 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 ;[citado 2024 ago. 10 ] 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 ;[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/00949655.2024.2368887
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
Fonte: Communications in Statistics - Theory and Methods. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: DISTRIBUIÇÃO ELÍPTICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, INFERÊNCIA BAYESIANA
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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: 10 ago. 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 ago. 10 ] 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 ago. 10 ] Available from: https://doi.org/10.1080/03610926.2021.1933531
Artigo de periodico
A useful variance decomposition for destructive Waring regression cure model with an application to HIV data (2022)
Vasquez, Jonathan Kevin Jordan; Rodrigues, Josemar ; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Theory and Methods. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: ANÁLISE DE SOBREVIVÊNCIA, FATORES DE RISCO, HIV
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ABNT
VASQUEZ, Jonathan Kevin Jordan e RODRIGUES, Josemar e BALAKRISHNAN, Narayanaswamy. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data. Communications in Statistics - Theory and Methods, v. 51, n. 20, p. 6978-6989, 2022Tradução . . Disponível em: https://doi.org/10.1080/03610926.2020.1869782. Acesso em: 10 ago. 2024.
APA
Vasquez, J. K. J., Rodrigues, J., & Balakrishnan, N. (2022). A useful variance decomposition for destructive Waring regression cure model with an application to HIV data. Communications in Statistics - Theory and Methods, 51( 20), 6978-6989. doi:10.1080/03610926.2020.1869782
NLM
Vasquez JKJ, Rodrigues J, Balakrishnan N. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 51( 20): 6978-6989.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/03610926.2020.1869782
Vancouver
Vasquez JKJ, Rodrigues J, Balakrishnan N. A useful variance decomposition for destructive Waring regression cure model with an application to HIV data [Internet]. Communications in Statistics - Theory and Methods. 2022 ; 51( 20): 6978-6989.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/03610926.2020.1869782
Artigo de periodico
Bayesian superposition of pure-birth destructive cure processes for tumor latency (2020)
Rodrigues, Josemar ; Inacio, Marco Henrique de Almeida ; Suzuki, Adriano Kamimura ; Silva, Fernando Raimundo da; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Simulation and Computation. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: INFERÊNCIA BAYESIANA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ANÁLISE DE SOBREVIVÊNCIA, PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS
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ABNT
RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, v. 49, n. 12, p. 3240-3253, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610918.2018.1538455. Acesso em: 10 ago. 2024.
APA
Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2020). Bayesian superposition of pure-birth destructive cure processes for tumor latency. Communications in Statistics - Simulation and Computation, 49( 12), 3240-3253. doi:10.1080/03610918.2018.1538455
NLM
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
Vancouver
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 12): 3240-3253.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/03610918.2018.1538455
Artigo de periodico
Fractional approaches for the distribution of innovation sequence of INAR(1) processes (2020)
Rodrigues, Josemar ; Bourguignon, Marcelo ; Santos-Neto, Manoel ; Balakrishnan, Narayanaswamy
Fonte: Communications in Statistics - Theory and Methods. Unidade: ICMC
Assuntos: PROBABILIDADE, ANÁLISE DE SÉRIES TEMPORAIS, OPERADORES
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ABNT
RODRIGUES, Josemar et al. Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, v. 49, n. 9, p. 2205-2216, 2020Tradução . . Disponível em: https://doi.org/10.1080/03610926.2019.1568492. Acesso em: 10 ago. 2024.
APA
Rodrigues, J., Bourguignon, M., Santos-Neto, M., & Balakrishnan, N. (2020). Fractional approaches for the distribution of innovation sequence of INAR(1) processes. Communications in Statistics - Theory and Methods, 49( 9), 2205-2216. doi:10.1080/03610926.2019.1568492
NLM
Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
Vancouver
Rodrigues J, Bourguignon M, Santos-Neto M, Balakrishnan N. Fractional approaches for the distribution of innovation sequence of INAR(1) processes [Internet]. Communications in Statistics - Theory and Methods. 2020 ; 49( 9): 2205-2216.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1080/03610926.2019.1568492
Trabalho de evento-resumo
Bayesian superposition of pure-birth destructive cure processes for tumor latency (2018)
Rodrigues, Josemar ; Inacio, Marco Henrique de Almeida ; Suzuki, Adriano Kamimura ; Silva, Fernando Raimundo da; Balakrishnan, Narayanaswamy
Fonte: Resumos. Nome do evento: Simpósio Nacional de Probabilidade e Estatística - SINAPE. Unidades: ICMC, INTER: ICMC -UFSCAR
Assuntos: PROCESSOS ESTOCÁSTICOS ESPECIAIS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, SIMULAÇÃO (ESTATÍSTICA), MELANOMA
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ABNT
RODRIGUES, Josemar et al. Bayesian superposition of pure-birth destructive cure processes for tumor latency. 2018, Anais.. São Paulo: ABE, 2018. Disponível em: http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960. Acesso em: 10 ago. 2024.
APA
Rodrigues, J., Inacio, M. H. de A., Suzuki, A. K., Silva, F. R. da, & Balakrishnan, N. (2018). Bayesian superposition of pure-birth destructive cure processes for tumor latency. In Resumos. São Paulo: ABE. Recuperado de http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960
NLM
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Resumos. 2018 ;[citado 2024 ago. 10 ] Available from: http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960
Vancouver
Rodrigues J, Inacio MH de A, Suzuki AK, Silva FR da, Balakrishnan N. Bayesian superposition of pure-birth destructive cure processes for tumor latency [Internet]. Resumos. 2018 ;[citado 2024 ago. 10 ] Available from: http://www.sinape2018.com.br/evento/23sinape/trabalhosaprovados/naintegra/960
Artigo de periodico
Bayesian cure rate models induced by frailty in survival analysis (2017)
Souza, Daiane de; Cancho, Vicente Garibay ; Rodrigues, Josemar ; Balakrishnan, Narayanaswamy
Fonte: Statistical Methods in Medical Research. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
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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: 10 ago. 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 ago. 10 ] 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 ago. 10 ] Available from: https://doi.org/10.1177/0962280217708671
Artigo de periodico
A cure rate survival model under a hybrid latent activation scheme (2016)
Borges, Patrick; Rodrigues, Josemar ; Louzada, Francisco ; Balakrishnan, Narayanaswamy
Fonte: Statistical Methods in Medical Research. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR
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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: 10 ago. 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 ago. 10 ] 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 ago. 10 ] Available from: https://doi.org/10.1177/0962280212469682
Artigo de periodico
The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data (2016)
Rodrigues, Josemar ; Bazán Guzmán, Jorge Luis ; Suzuki, Adriano Kamimura ; Balakrishnan, Narayanaswamy
Fonte: Statistics and Probability Letters. Unidade: ICMC
Assuntos: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA
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ABNT
RODRIGUES, Josemar et al. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, v. 119, p. 281-288, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2016.08.020. Acesso em: 10 ago. 2024.
APA
Rodrigues, J., Bazán Guzmán, J. L., Suzuki, A. K., & Balakrishnan, N. (2016). The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, 119, 281-288. doi:10.1016/j.spl.2016.08.020
NLM
Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
Vancouver
Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
Artigo de periodico
Flexible M/G/1 queueing system with state dependent service rate (2016)
Rodrigues, Josemar ; Prado, Silvia Maria; Balakrishnan, N; Louzada, Francisco
Fonte: Operations Research Letters. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
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ABNT
RODRIGUES, Josemar et al. Flexible M/G/1 queueing system with state dependent service rate. Operations Research Letters, v. 44, n. 3, p. 383-389, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.orl.2016.03.011. Acesso em: 10 ago. 2024.
APA
Rodrigues, J., Prado, S. M., Balakrishnan, N., & Louzada, F. (2016). Flexible M/G/1 queueing system with state dependent service rate. Operations Research Letters, 44( 3), 383-389. doi:10.1016/j.orl.2016.03.011
NLM
Rodrigues J, Prado SM, Balakrishnan N, Louzada F. Flexible M/G/1 queueing system with state dependent service rate [Internet]. Operations Research Letters. 2016 ; 44( 3): 383-389.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1016/j.orl.2016.03.011
Vancouver
Rodrigues J, Prado SM, Balakrishnan N, Louzada F. Flexible M/G/1 queueing system with state dependent service rate [Internet]. Operations Research Letters. 2016 ; 44( 3): 383-389.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1016/j.orl.2016.03.011
Artigo de periodico
Relaxed Poisson cure rate models (2016)
Rodrigues, Josemar ; Cordeiro, Gauss M; Cancho, Vicente Garibay ; Balakrishnan, Narayanaswamy
Fonte: Biometrical Journal. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, PROBABILIDADE
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ABNT
RODRIGUES, Josemar et al. Relaxed Poisson cure rate models. Biometrical Journal, v. 58, n. 2, p. 397-415, 2016Tradução . . Disponível em: https://doi.org/10.1002/bimj.201500051. Acesso em: 10 ago. 2024.
APA
Rodrigues, J., Cordeiro, G. M., Cancho, V. G., & Balakrishnan, N. (2016). Relaxed Poisson cure rate models. Biometrical Journal, 58( 2), 397-415. doi:10.1002/bimj.201500051
NLM
Rodrigues J, Cordeiro GM, Cancho VG, Balakrishnan N. Relaxed Poisson cure rate models [Internet]. Biometrical Journal. 2016 ; 58( 2): 397-415.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1002/bimj.201500051
Vancouver
Rodrigues J, Cordeiro GM, Cancho VG, Balakrishnan N. Relaxed Poisson cure rate models [Internet]. Biometrical Journal. 2016 ; 58( 2): 397-415.[citado 2024 ago. 10 ] Available from: https://doi.org/10.1002/bimj.201500051

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