{"title":"混合和双重处理阈值决策模型。","authors":"Benjamin Djulbegovic, Iztok Hozo","doi":"10.1007/978-3-031-37993-2_7","DOIUrl":null,"url":null,"abstract":"<p><p>In the previous chapters, we presented various derivations of the threshold model based on the same disease outcomes. We assumed that a decision-maker would calculate the threshold based on either mortality or morbidity outcomes. Basinga and van den Ende derived the threshold by combining both mortality and morbidity outcomes.</p>","PeriodicalId":9486,"journal":{"name":"Cancer treatment and research","volume":"189 ","pages":"85-92"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid and Dual-Processing Threshold Decision Models.\",\"authors\":\"Benjamin Djulbegovic, Iztok Hozo\",\"doi\":\"10.1007/978-3-031-37993-2_7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In the previous chapters, we presented various derivations of the threshold model based on the same disease outcomes. We assumed that a decision-maker would calculate the threshold based on either mortality or morbidity outcomes. Basinga and van den Ende derived the threshold by combining both mortality and morbidity outcomes.</p>\",\"PeriodicalId\":9486,\"journal\":{\"name\":\"Cancer treatment and research\",\"volume\":\"189 \",\"pages\":\"85-92\"},\"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_7\",\"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_7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
在前几章中，我们介绍了基于相同疾病结果的阈值模型的各种推导。我们假设决策者会根据死亡率或发病率结果来计算阈值。Basinga和van den Ende通过结合死亡率和发病率结果得出阈值。
Hybrid and Dual-Processing Threshold Decision Models.
In the previous chapters, we presented various derivations of the threshold model based on the same disease outcomes. We assumed that a decision-maker would calculate the threshold based on either mortality or morbidity outcomes. Basinga and van den Ende derived the threshold by combining both mortality and morbidity outcomes.
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