{"title":"Using Decision Curve Analysis to Evaluate Testing and/or Predictive Modeling.","authors":"Benjamin Djulbegovic, Iztok Hozo","doi":"10.1007/978-3-031-37993-2_6","DOIUrl":null,"url":null,"abstract":"<p><p>In this chapter, we extend the threshold model to evaluate the value of diagnostic tests or predictive models over a range of all possible thresholds by using decision curve analysis (DCA). DCA has been developed within the expected utility theory (EUT) and expected regret theory (ERT) framework.</p>","PeriodicalId":9486,"journal":{"name":"Cancer treatment and research","volume":"189 ","pages":"77-84"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer treatment and research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-37993-2_6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
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Abstract
In this chapter, we extend the threshold model to evaluate the value of diagnostic tests or predictive models over a range of all possible thresholds by using decision curve analysis (DCA). DCA has been developed within the expected utility theory (EUT) and expected regret theory (ERT) framework.
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