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dc.contributor.authorvan Giessen, Anoukh
dc.contributor.authorde Wit, G Ardine
dc.contributor.authorMoons, Karel G M
dc.contributor.authorDorresteijn, Jannick A N
dc.contributor.authorKoffijberg, Hendrik
dc.date.accessioned2018-02-22T12:55:01Z
dc.date.available2018-02-22T12:55:01Z
dc.date.issued2018-02
dc.identifier.citationAn alternative approach identified optimal risk thresholds for treatment indication: an illustration in coronary heart disease. 2018, 94:122-131 J Clin Epidemiolen
dc.identifier.issn1878-5921
dc.identifier.pmid28986242
dc.identifier.doi10.1016/j.jclinepi.2017.09.020
dc.identifier.urihttp://hdl.handle.net/10029/621444
dc.description.abstractTreatment thresholds based on risk predictions can be optimized by considering various health (economic) outcomes and performing marginal analyses, but this is rarely performed. We demonstrate a general approach to identify treatment thresholds optimizing individual health (economic) outcomes, illustrated for statin treatment based on 10-year coronary heart disease (CHD) risk predicted by the Framingham risk score.
dc.language.isoenen
dc.rightsinfo:eu-repo/semantics/closedAccessen
dc.titleAn alternative approach identified optimal risk thresholds for treatment indication: an illustration in coronary heart disease.en
dc.typeArticleen
dc.identifier.journalJ Clin Epidemiol 2018; 94:122-31en
html.description.abstractTreatment thresholds based on risk predictions can be optimized by considering various health (economic) outcomes and performing marginal analyses, but this is rarely performed. We demonstrate a general approach to identify treatment thresholds optimizing individual health (economic) outcomes, illustrated for statin treatment based on 10-year coronary heart disease (CHD) risk predicted by the Framingham risk score.


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