{"title":"阿育吠陀研究中“p值”理论的幻觉:需要可感知的替代。","authors":"Arunabh Tripathi, Saket Ram Trigulla","doi":"10.4103/ayu.AYU_52_19","DOIUrl":null,"url":null,"abstract":"Reporting and interpretation of results of classical statistical tests is widespread among applied researchers, most of whom erroneously believe that such tests are prescribed by a single coherent theory of statistical inference. This is not the case, classical statistical testing is a hybrid of the two different approaches formulated by Fisher on the one hand and Jerzy Neyman and Egon Pearson on the other.[1,2]","PeriodicalId":8720,"journal":{"name":"Ayu","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3a/72/AYU-40-134.PMC7210825.pdf","citationCount":"1","resultStr":"{\"title\":\"Illusion of the \\\"<i>p</i>-value\\\" theory in Ayurveda research: A need for perceptible alternative.\",\"authors\":\"Arunabh Tripathi, Saket Ram Trigulla\",\"doi\":\"10.4103/ayu.AYU_52_19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reporting and interpretation of results of classical statistical tests is widespread among applied researchers, most of whom erroneously believe that such tests are prescribed by a single coherent theory of statistical inference. This is not the case, classical statistical testing is a hybrid of the two different approaches formulated by Fisher on the one hand and Jerzy Neyman and Egon Pearson on the other.[1,2]\",\"PeriodicalId\":8720,\"journal\":{\"name\":\"Ayu\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3a/72/AYU-40-134.PMC7210825.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ayu\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ayu.AYU_52_19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/3/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ayu","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ayu.AYU_52_19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/3/20 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Illusion of the "p-value" theory in Ayurveda research: A need for perceptible alternative.
Reporting and interpretation of results of classical statistical tests is widespread among applied researchers, most of whom erroneously believe that such tests are prescribed by a single coherent theory of statistical inference. This is not the case, classical statistical testing is a hybrid of the two different approaches formulated by Fisher on the one hand and Jerzy Neyman and Egon Pearson on the other.[1,2]