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Michael Jackson Adjabui

Datos Biográficos

ID6891616
NOMBREMichael Jackson Adjabui
NOMBRESMichael Jackson
APELLIDOAdjabui
FIRMAADJABUI M J
AFILIACIONESC.K. Tedam University of Technology and Applied Sciences
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Model-Based Small Area Estimation of Regional-Level Maternal Mortality Prevalence in Ghana

    Jakperik Dioggban, Queensley C Chukwudum et al.•ARTICLE•Statistics Politics and Policy•2023

    The study involved 1240 women covering the ten administrative regions of Ghana. The aim was to study the prevalence of maternal mortality and its distribution across the ten regions based on given demographic factors. Three main analytical methods were used: Direct estimation method, Fay-Herriot method and Binary Logistic regression. The study revealed that prevalence of maternal mortality in Ghana was high among women engaged in manual works, ru…

Sin obras prominentes en esta página.

  • Model-Based Small Area Estimation of Regional-Level Maternal Mortality Prevalence in Ghana

    Jakperik Dioggban, Queensley C Chukwudum et al.•ARTICLE•Statistics Politics and Policy•2023

    The study involved 1240 women covering the ten administrative regions of Ghana. The aim was to study the prevalence of maternal mortality and its distribution across the ten regions based on given demographic factors. Three main analytical methods were used: Direct estimation method, Fay-Herriot method and Binary Logistic regression. The study revealed that prevalence of maternal mortality in Ghana was high among women engaged in manual works, ru…

Demography (1 obras) · Demography (1 obras) · Developing country (1 obras) · Distribution (mathematics (1 obras) · Economic growth (1 obras) · Environmental health (1 obras) · Estimation (1 obras) · Geography (1 obras) · Global Health Care Issues (1 obras) · Global Maternal and Child Health (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae