ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 jun. 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 jun. 03 ] 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 jun. 03 ] Available from: https://doi.org/10.1177/0962280220964953
Trabalho de evento
A linear mixed model for segmented regression with smooth transition (2019)
Singer, Júlio da Motta ; Rocha, Francisco Marcelo Monteiro da ; Lima, Antonio Carlos Pedroso de ; Silva, Giovani Loiola da ; Coatti, Giuliana Castello ; Zatz, Mayana
Source: Proceedings. Conference titles: ISI World Statistics Congress. Unidades: IME, IB
Subjects: GENÉTICA ESTATÍSTICA, ESTUDOS RANDOMIZADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SINGER, Júlio da Motta et al. A linear mixed model for segmented regression with smooth transition. 2019, Anais.. Putrajaya: Department of Statistics Malaysia, 2019. Disponível em: https://2019.isiproceedings.org/Files/10.Contributed-Paper-Session(CPS)-Volume-4.pdf. Acesso em: 03 jun. 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. (2019). A linear mixed model for segmented regression with smooth transition. In Proceedings. Putrajaya: Department of Statistics Malaysia. Recuperado de https://2019.isiproceedings.org/Files/10.Contributed-Paper-Session(CPS)-Volume-4.pdf
NLM
Singer J da M, Rocha FMM da, Lima ACP de, Silva GL da, Coatti GC, Zatz M. A linear mixed model for segmented regression with smooth transition [Internet]. Proceedings. 2019 ;[citado 2024 jun. 03 ] Available from: https://2019.isiproceedings.org/Files/10.Contributed-Paper-Session(CPS)-Volume-4.pdf
Vancouver
Singer J da M, Rocha FMM da, Lima ACP de, Silva GL da, Coatti GC, Zatz M. A linear mixed model for segmented regression with smooth transition [Internet]. Proceedings. 2019 ;[citado 2024 jun. 03 ] Available from: https://2019.isiproceedings.org/Files/10.Contributed-Paper-Session(CPS)-Volume-4.pdf
Artigo de periodico
Pericytes Extend Survival of ALS SOD1 Mice and Induce the Expression of Antioxidant Enzymes in the Murine Model and in IPSCs Derived Neuronal Cells from an ALS Patient (2017)
Coatti, Giuliana Castello; Frangini, Miriam; Valadares, Marcos C; Gomes, Juliana Plat; Lima, Natalia O; Cavaçana, Natale; Assoni, Amanda F; Pelatti, Mayra V; Birbrair, Alexander; Lima, Antonio Carlos Pedroso de ; Singer, Julio M; Rocha, Francisco Marcelo M; Da Silva, Giovani Loiola; Mantovani, Mario Sergio; Macedo-Souza, Lúcia Inês; Ferrari, Merari de Fátima Ramires ; Zatz, Mayana
Source: Stem Cell Reviews and Reports. Unidades: IME, IB
Subjects: ESCLEROSE AMIOTRÓFICA LATERAL, DOENÇAS NEURODEGENERATIVAS, DOENÇAS NEUROMUSCULARES, CÉLULAS-TRONCO, NEURÔNIOS MOTORES, EXPRESSÃO GÊNICA, MODELOS ANIMAIS DE DOENÇAS, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COATTI, Giuliana Castello et al. Pericytes Extend Survival of ALS SOD1 Mice and Induce the Expression of Antioxidant Enzymes in the Murine Model and in IPSCs Derived Neuronal Cells from an ALS Patient. Stem Cell Reviews and Reports, v. 13, n. 5, p. 686–698, 2017Tradução . . Disponível em: https://doi.org/10.1007/s12015-017-9752-2. Acesso em: 03 jun. 2024.
APA
Coatti, G. C., Frangini, M., Valadares, M. C., Gomes, J. P., Lima, N. O., Cavaçana, N., et al. (2017). Pericytes Extend Survival of ALS SOD1 Mice and Induce the Expression of Antioxidant Enzymes in the Murine Model and in IPSCs Derived Neuronal Cells from an ALS Patient. Stem Cell Reviews and Reports, 13( 5), 686–698. doi:10.1007/s12015-017-9752-2
NLM
Coatti GC, Frangini M, Valadares MC, Gomes JP, Lima NO, Cavaçana N, Assoni AF, Pelatti MV, Birbrair A, Lima ACP de, Singer JM, Rocha FMM, Da Silva GL, Mantovani MS, Macedo-Souza LI, Ferrari M de FR, Zatz M. Pericytes Extend Survival of ALS SOD1 Mice and Induce the Expression of Antioxidant Enzymes in the Murine Model and in IPSCs Derived Neuronal Cells from an ALS Patient [Internet]. Stem Cell Reviews and Reports. 2017 ; 13( 5): 686–698.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1007/s12015-017-9752-2
Vancouver
Coatti GC, Frangini M, Valadares MC, Gomes JP, Lima NO, Cavaçana N, Assoni AF, Pelatti MV, Birbrair A, Lima ACP de, Singer JM, Rocha FMM, Da Silva GL, Mantovani MS, Macedo-Souza LI, Ferrari M de FR, Zatz M. Pericytes Extend Survival of ALS SOD1 Mice and Induce the Expression of Antioxidant Enzymes in the Murine Model and in IPSCs Derived Neuronal Cells from an ALS Patient [Internet]. Stem Cell Reviews and Reports. 2017 ; 13( 5): 686–698.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1007/s12015-017-9752-2

USP Schools

ReP

Filtros

Authors

Subjects

Non normalized affiliation