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Jennifer M Lobo

Dados Biográficos

ID7941203
NOMEJennifer M Lobo
PRENOMESJennifer M
SOBRENOMELobo
ASSINATURALOBO J M
AFILIAÇÕESUniversity of Virginia
ORCID0000-0001-8375-2475
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2018
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • A sampling strategy for longitudinal and cross-sectional analyses using a large national claims database

    Open Access•Timothy L McMurry, Jennifer M Lobo et al.•ARTICLE•Frontiers in Public Health•2024

    Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs involved in obtaining the data, a method of randomly drawing a representative sample for retrospective cohort studies with multi-year follow-up is not well-documented. Objective: To present a method to construct longitudinal patient samples from Med…

  • Decision Analytic Modeling for Global Clinical Trial Planning

    Open Access•Jessica Keim-Malpass, Scott K Heysell et al.•ARTICLE•International Journal of…•2023

    Sepsis is a significant cause of mortality among people living with human immunodeficiency virus (HIV) in sub-Saharan Africa. In the planning period prior to the start of a large multi-country clinical trial studying the efficacy of the immediate empiric addition of anti-tuberculosis therapy to standard-of-care antibiotics for sepsis in people living with HIV, we used decision analysis to assess the costs and potential health outcome impacts of t…

  • Disparities in the Use of Diabetes Screening in Appalachia

    Open Access•Jennifer M Lobo, Roger Anderson et al.•ARTICLE•The Journal of Rural Health•2018

    PURPOSE: The Appalachian region presents disproportionately high rates of chronic disease compared to the rest of the United States. Early diagnosis of diabetes through screening is an important step in reducing diabetes complications. This study examines disparities in the use of diabetes screening in Appalachia. METHODS: We analyzed 2009 and 2010 Behavioral Risk Factor Surveillance System data for 96,111 adults aged ≥45 years from 11 Appalachia…

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  • Disparities in the Use of Diabetes Screening in Appalachia

    Open Access•Jennifer M Lobo, Roger Anderson et al.•ARTICLE•The Journal of Rural Health•2018

    PURPOSE: The Appalachian region presents disproportionately high rates of chronic disease compared to the rest of the United States. Early diagnosis of diabetes through screening is an important step in reducing diabetes complications. This study examines disparities in the use of diabetes screening in Appalachia. METHODS: We analyzed 2009 and 2010 Behavioral Risk Factor Surveillance System data for 96,111 adults aged ≥45 years from 11 Appalachia…

  • Decision Analytic Modeling for Global Clinical Trial Planning

    Open Access•Jessica Keim-Malpass, Scott K Heysell et al.•ARTICLE•International Journal of…•2023

    Sepsis is a significant cause of mortality among people living with human immunodeficiency virus (HIV) in sub-Saharan Africa. In the planning period prior to the start of a large multi-country clinical trial studying the efficacy of the immediate empiric addition of anti-tuberculosis therapy to standard-of-care antibiotics for sepsis in people living with HIV, we used decision analysis to assess the costs and potential health outcome impacts of t…

  • A sampling strategy for longitudinal and cross-sectional analyses using a large national claims database

    Open Access•Timothy L McMurry, Jennifer M Lobo et al.•ARTICLE•Frontiers in Public Health•2024

    Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs involved in obtaining the data, a method of randomly drawing a representative sample for retrospective cohort studies with multi-year follow-up is not well-documented. Objective: To present a method to construct longitudinal patient samples from Med…

Medicine (2 obras) · Appalachia (1 obras) · Appalachian Region (1 obras) · Behavioral Risk Factor Surveillance System (1 obras) · Chronic Disease Management Strategies (1 obras) · Clinical trial (1 obras) · Computer Science (1 obras) · Cross-sectional study (1 obras) · Database (1 obras) · Decision analysis (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae