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Artigo de periodico
Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria (2025)
Egbon, Osafu Augustine ; Belachew, Asrat Mekonnen ; Bogoni, Mariella Ananias ; Gayawan, Ezra ; Louzada, Francisco
Source: Scientific Reports. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística, IME
Subjects: INFERÊNCIA BAYESIANA, SAÚDE PÚBLICA, ANÁLISE DE SOBREVIVÊNCIA, NIGÉRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
EGBON, Osafu Augustine et al. Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria. Scientific Reports, v. 15, p. 1-15, 2025Tradução . . Disponível em: https://doi.org/10.1038/s41598-025-98422-0. Acesso em: 24 jun. 2025.
APA
Egbon, O. A., Belachew, A. M., Bogoni, M. A., Gayawan, E., & Louzada, F. (2025). Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria. Scientific Reports, 15, 1-15. doi:10.1038/s41598-025-98422-0
NLM
Egbon OA, Belachew AM, Bogoni MA, Gayawan E, Louzada F. Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria [Internet]. Scientific Reports. 2025 ; 15 1-15.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1038/s41598-025-98422-0
Vancouver
Egbon OA, Belachew AM, Bogoni MA, Gayawan E, Louzada F. Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria [Internet]. Scientific Reports. 2025 ; 15 1-15.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1038/s41598-025-98422-0
Artigo de periodico
Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: a GAMLSS approach (2025)
Fadugba, Omolola Olubukola ; Gayawan, Ezra ; Egbon, Osafu Augustine
Source: Scientific African. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA ESTATÍSTICA, REGRESSÃO LINEAR, ÍNDICE DE MASSA CORPORAL, SOBREPESO, OBESIDADE, FATORES SOCIOECONÔMICOS, MULHERES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FADUGBA, Omolola Olubukola e GAYAWAN, Ezra e EGBON, Osafu Augustine. Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: a GAMLSS approach. Scientific African, v. 28, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.sciaf.2025.e02673. Acesso em: 24 jun. 2025.
APA
Fadugba, O. O., Gayawan, E., & Egbon, O. A. (2025). Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: a GAMLSS approach. Scientific African, 28, 1-16. doi:10.1016/j.sciaf.2025.e02673
NLM
Fadugba OO, Gayawan E, Egbon OA. Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: a GAMLSS approach [Internet]. Scientific African. 2025 ; 28 1-16.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1016/j.sciaf.2025.e02673
Vancouver
Fadugba OO, Gayawan E, Egbon OA. Analysis of social and economic factors influencing overweight and obesity among women of childbearing age in Nigeria: a GAMLSS approach [Internet]. Scientific African. 2025 ; 28 1-16.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1016/j.sciaf.2025.e02673
Artigo de periodico
Bayesian multinomial model with inference based on Pólya-Gamma augmentation (2024)
Gayawan, Ezra ; Egbon, Osafu Augustine
Source: Biostatistics and Epidemiology. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, DESNUTRIÇÃO, OBESIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAYAWAN, Ezra e EGBON, Osafu Augustine. Bayesian multinomial model with inference based on Pólya-Gamma augmentation. Biostatistics and Epidemiology, v. 8, n. 1, p. 1-24, 2024Tradução . . Disponível em: https://doi.org/10.1080/24709360.2024.2398317. Acesso em: 24 jun. 2025.
APA
Gayawan, E., & Egbon, O. A. (2024). Bayesian multinomial model with inference based on Pólya-Gamma augmentation. Biostatistics and Epidemiology, 8( 1), 1-24. doi:10.1080/24709360.2024.2398317
NLM
Gayawan E, Egbon OA. Bayesian multinomial model with inference based on Pólya-Gamma augmentation [Internet]. Biostatistics and Epidemiology. 2024 ; 8( 1): 1-24.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1080/24709360.2024.2398317
Vancouver
Gayawan E, Egbon OA. Bayesian multinomial model with inference based on Pólya-Gamma augmentation [Internet]. Biostatistics and Epidemiology. 2024 ; 8( 1): 1-24.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1080/24709360.2024.2398317
Artigo de periodico
Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective (2022)
Gayawan, Ezra ; Egbon, Osafu Augustine ; Adebayo, Samson B
Source: Communications in Statistics : case studies, data analysis and applications. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, PROCESSOS GAUSSIANOS, MALÁRIA, ANEMIA, CRIANÇAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAYAWAN, Ezra e EGBON, Osafu Augustine e ADEBAYO, Samson B. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective. Communications in Statistics : case studies, data analysis and applications, v. 8, n. 2, p. 264-281, 2022Tradução . . Disponível em: https://doi.org/10.1080/23737484.2022.2031345. Acesso em: 24 jun. 2025.
APA
Gayawan, E., Egbon, O. A., & Adebayo, S. B. (2022). Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective. Communications in Statistics : case studies, data analysis and applications, 8( 2), 264-281. doi:10.1080/23737484.2022.2031345
NLM
Gayawan E, Egbon OA, Adebayo SB. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective [Internet]. Communications in Statistics : case studies, data analysis and applications. 2022 ; 8( 2): 264-281.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
Vancouver
Gayawan E, Egbon OA, Adebayo SB. Spatial modelling of the joint burden of malaria and anaemia co-morbidity in children: a bayesian geoadditive perspective [Internet]. Communications in Statistics : case studies, data analysis and applications. 2022 ; 8( 2): 264-281.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1080/23737484.2022.2031345
Artigo de periodico
Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach (2021)
Egbon, Osafu Augustine ; Somo-Aina, Omodolapo; Gayawan, Ezra
Source: Statistics in Biosciences. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA BAYESIANA, ANÁLISE DE SOBREVIVÊNCIA, POLUIÇÃO ATMOSFÉRICA, MONÓXIDO DE CARBONO, DESNUTRIÇÃO INFANTIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
EGBON, Osafu Augustine e SOMO-AINA, Omodolapo e GAYAWAN, Ezra. Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach. Statistics in Biosciences, v. 13, n. 3, p. 495-523, 2021Tradução . . Disponível em: https://doi.org/10.1007/s12561-021-09303-9. Acesso em: 24 jun. 2025.
APA
Egbon, O. A., Somo-Aina, O., & Gayawan, E. (2021). Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach. Statistics in Biosciences, 13( 3), 495-523. doi:10.1007/s12561-021-09303-9
NLM
Egbon OA, Somo-Aina O, Gayawan E. Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach [Internet]. Statistics in Biosciences. 2021 ; 13( 3): 495-523.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/s12561-021-09303-9
Vancouver
Egbon OA, Somo-Aina O, Gayawan E. Spatial weighted analysis of malnutrition among children in Nigeria: a Bayesian approach [Internet]. Statistics in Biosciences. 2021 ; 13( 3): 495-523.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/s12561-021-09303-9

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