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Statistical Modelling of Statin Use and Traits Among Participants with High Lipid Levels

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dc.contributor.author Wendt, Abby
dc.date.accessioned 2021-08-19T18:24:25Z
dc.date.available 2021-08-19T18:24:25Z
dc.date.created 2020
dc.identifier.uri http://hdl.handle.net/11216/3946
dc.description 2020 Celebration of Student Research and Creativity presentation en_US
dc.description.abstract Participants with higher cholesterol levels may exhibit different environmental traits as well as prescribed treatments. Participants were split into case groups (elevated cholesterol) and a control group (normal level). Logistic regression, a statistical method to estimate prevalence of a binary outcome variable, was used to analyze the prevalence of statin use while adjusting for various factors such as comorbidities, smoking status, insurance carrier, age group and hospital network affiliation, along with the groups (case vs. control) to which participants belonged. Interval estimates were examined for potential differences which may inform treatment or medical advice. en_US
dc.description.uri https://youtu.be/EXaBEVOsW_E en_US
dc.language.iso en_US en_US
dc.publisher Northern Kentucky University en_US
dc.relation.ispartofseries Celebration of Student Research and Creativity;2020
dc.subject Statins (Cardiovascular agents)  en_US
dc.subject Cholesterol en_US
dc.subject Logistic regression analysis en_US
dc.title Statistical Modelling of Statin Use and Traits Among Participants with High Lipid Levels en_US
dc.type Presentation en_US


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