{"title":"[实验室诊断试验的准确性评价]。","authors":"Shou-Jun Zhao, Shuang Zhang, Feng Wang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The theory and application of ROC curve are briefly introduced in this paper. Three main ROC curve related indices, area under curve (AUC), partial area under curve (pAUC), and sensitivity at a particular false-positive-rate (1-specificity) [Se(FPR=e)], are used to analyze a real data of five hepatitis B surface agent kits with calculated steps and explanation, including the bootstrap method for statistical inference of these indices.</p>","PeriodicalId":56402,"journal":{"name":"中国疫苗和免疫","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Accuracy evaluation of diagnostic test in laboratory].\",\"authors\":\"Shou-Jun Zhao, Shuang Zhang, Feng Wang\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The theory and application of ROC curve are briefly introduced in this paper. Three main ROC curve related indices, area under curve (AUC), partial area under curve (pAUC), and sensitivity at a particular false-positive-rate (1-specificity) [Se(FPR=e)], are used to analyze a real data of five hepatitis B surface agent kits with calculated steps and explanation, including the bootstrap method for statistical inference of these indices.</p>\",\"PeriodicalId\":56402,\"journal\":{\"name\":\"中国疫苗和免疫\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国疫苗和免疫\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国疫苗和免疫","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Accuracy evaluation of diagnostic test in laboratory].
The theory and application of ROC curve are briefly introduced in this paper. Three main ROC curve related indices, area under curve (AUC), partial area under curve (pAUC), and sensitivity at a particular false-positive-rate (1-specificity) [Se(FPR=e)], are used to analyze a real data of five hepatitis B surface agent kits with calculated steps and explanation, including the bootstrap method for statistical inference of these indices.
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