{"title":"使用决策曲线分析来评估测试和/或预测建模。","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":"{\"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}","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}
Using Decision Curve Analysis to Evaluate Testing and/or Predictive Modeling.
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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