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

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dc.contributor.authorWendt, Abby
dc.date.accessioned2021-08-19T18:24:25Z
dc.date.available2021-08-19T18:24:25Z
dc.date.created2020
dc.description2020 Celebration of Student Research and Creativity presentationen_US
dc.description.abstractParticipants 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.urihttps://youtu.be/EXaBEVOsW_Een_US
dc.identifier.urihttp://hdl.handle.net/11216/3946
dc.language.isoen_USen_US
dc.publisherNorthern Kentucky Universityen_US
dc.relation.ispartofseriesCelebration of Student Research and Creativity;2020
dc.subjectStatins (Cardiovascular agents) en_US
dc.subjectCholesterolen_US
dc.subjectLogistic regression analysisen_US
dc.titleStatistical Modelling of Statin Use and Traits Among Participants with High Lipid Levelsen_US
dc.typePresentationen_US

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Student Research and Creativity