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Exploratory and Inferential Spatial Statistical Methods: Tools To Understand the Geography of Health Across the U.S.
Presenter
Lori Philip Tabb, PhD
Associate Professor of Biostatistics
Drexel University’s Dornsife School of Public Health
About the Webinar
Exploratory and inferential spatial statistical methods are the tools needed to further understand the geography of health across the United States, with a targeted focus on understanding the impacts of the social determinants of health (SDOH). In particular, the SDOH framework has five domains: economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context. Exploratory and inferential spatial statistical methods including, but not limited to, choropleth maps, Moran’s I statistics, local indicators of spatial analysis, and spatial regression frameworks (traditional frequentist and Bayesian frameworks) allow for rigorous approaches to considering the importance of the SDOH, especially the neighborhood and built environment domain.
This webinar aims to present various statistical methods needed for researchers, policy makers, health officials, and community members to better understand the importance of neighborhoods on health and social outcomes, with a focus on health inequities. Lastly, given the recently released Healthy People 2030 goals, the highlighted exploratory and inferential spatial statistical methods that will be presented can be utilized in efforts to “create social, physical, and economic environments that promote attaining the full potential for health and well-being for all” (1 of 5 Healthy People 2030 Goals).
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Can’t be there? A recording of this webinar will be available approximately 2 weeks after the session. You can view the full archive of previous Methods: Mind the Gap webinars on the Office of Disease Prevention website.
This event is open to the public and there will be an opportunity to ask questions at the end of the presentation. Please feel free to share this information widely. For more information, please contact MindtheGap@nih.gov.