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Nicholas Jewell

Datos Biográficos

ID9064183
NOMBRENicholas Jewell
NOMBRESNicholas
APELLIDOJewell
FIRMAJEWELL N
AFILIACIONESLondon School of Hygiene & Tropical Medicine
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2010
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic

    Open Access•Richard Grieve, Youqi Yang et al.•ARTICLE•PLOS Global Public Health•2023

    The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…

  • Multiple Systems Estimation for Modern Slavery

    Open Access•Serveh Sharifi Far, Ruth King et al.•ARTICLE•Crime & Delinquency•2021

    Performing censuses on stigmatized or vulnerable populations is challenging, however, for such populations partial enumeration is often possible using different lists or sources. If the sources overlap then multiple systems estimation (MSE) methods can be applied to obtain an estimate of the total population. These are typically expressed by a log-linear model which permits positive/negative dependencies between lists. This paper considers issues…

  • To GEE or Not to GEE

    Anne Hubbard, Alan E Hubbard et al.•ARTICLE•Epidemiology•2010

    Two modeling approaches are commonly used to estimate the associations between neighborhood characteristics and individual-level health outcomes in multilevel studies (subjects within neighborhoods). Random effects models (or mixed models) use maximum likelihood estimation. Population average models typically use a generalized estimating equation (GEE) approach. These methods are used in place of basic regression approaches because the health of …

Sin obras prominentes en esta página.

  • To GEE or Not to GEE

    Anne Hubbard, Alan E Hubbard et al.•ARTICLE•Epidemiology•2010

    Two modeling approaches are commonly used to estimate the associations between neighborhood characteristics and individual-level health outcomes in multilevel studies (subjects within neighborhoods). Random effects models (or mixed models) use maximum likelihood estimation. Population average models typically use a generalized estimating equation (GEE) approach. These methods are used in place of basic regression approaches because the health of …

  • Multiple Systems Estimation for Modern Slavery

    Open Access•Serveh Sharifi Far, Ruth King et al.•ARTICLE•Crime & Delinquency•2021

    Performing censuses on stigmatized or vulnerable populations is challenging, however, for such populations partial enumeration is often possible using different lists or sources. If the sources overlap then multiple systems estimation (MSE) methods can be applied to obtain an estimate of the total population. These are typically expressed by a log-linear model which permits positive/negative dependencies between lists. This paper considers issues…

  • The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic

    Open Access•Richard Grieve, Youqi Yang et al.•ARTICLE•PLOS Global Public Health•2023

    The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…

Computer Science (3 obras) · Demography (2 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Medicine (2 obras) · Population (2 obras) · Sociology (2 obras) · Statistics (2 obras) · Alternative medicine (1 obras) · Biology (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