{"title":"为什么每个临床医生都应该知道贝叶斯规则","authors":"Bea Tiemens , Renée Wagenvoorde , Cilia Witteman","doi":"10.1016/j.hpe.2020.05.002","DOIUrl":null,"url":null,"abstract":"<div><p>We argue that knowledge about the rationale for Bayes' rule and about its proper application is a crucial tool for every clinician. We explain why such probabilistic reasoning is so important. We then acknowledge that the rule is quite abstract and may be difficult to use, and we offer a guideline to overcome this difficulty. We illustrate our text with an example from the mental health domain, but indicate that the same reasoning applies to every clinical area. Finally, we give a five-step recipe for interpreting test results properly.</p></div>","PeriodicalId":93562,"journal":{"name":"Health professions education","volume":"6 3","pages":"Pages 320-324"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.hpe.2020.05.002","citationCount":"5","resultStr":"{\"title\":\"Why Every Clinician Should Know Bayes’ Rule\",\"authors\":\"Bea Tiemens , Renée Wagenvoorde , Cilia Witteman\",\"doi\":\"10.1016/j.hpe.2020.05.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We argue that knowledge about the rationale for Bayes' rule and about its proper application is a crucial tool for every clinician. We explain why such probabilistic reasoning is so important. We then acknowledge that the rule is quite abstract and may be difficult to use, and we offer a guideline to overcome this difficulty. We illustrate our text with an example from the mental health domain, but indicate that the same reasoning applies to every clinical area. Finally, we give a five-step recipe for interpreting test results properly.</p></div>\",\"PeriodicalId\":93562,\"journal\":{\"name\":\"Health professions education\",\"volume\":\"6 3\",\"pages\":\"Pages 320-324\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.hpe.2020.05.002\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health professions education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452301120300468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health professions education","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452301120300468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Nursing","Score":null,"Total":0}
We argue that knowledge about the rationale for Bayes' rule and about its proper application is a crucial tool for every clinician. We explain why such probabilistic reasoning is so important. We then acknowledge that the rule is quite abstract and may be difficult to use, and we offer a guideline to overcome this difficulty. We illustrate our text with an example from the mental health domain, but indicate that the same reasoning applies to every clinical area. Finally, we give a five-step recipe for interpreting test results properly.