Bokai Wang, Pan Wu, Brian Kwan, Xin M Tu, Changyong Feng
{"title":"辛普森悖论:例子。","authors":"Bokai Wang, Pan Wu, Brian Kwan, Xin M Tu, Changyong Feng","doi":"10.11919/j.issn.1002-0829.218026","DOIUrl":null,"url":null,"abstract":"<p><p>Simpson's paradox is very prevalent in many areas. It characterizes the inconsistency between the conditional and marginal interpretations of the data. In this paper, we illustrate through some examples how the Simpson's paradox can happen in continuous, categorical, and time-to-event data.</p>","PeriodicalId":21886,"journal":{"name":"上海精神医学","volume":"30 2","pages":"139-143"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d1/cd/sap-30-139.PMC5936043.pdf","citationCount":"19","resultStr":"{\"title\":\"Simpson's Paradox: Examples.\",\"authors\":\"Bokai Wang, Pan Wu, Brian Kwan, Xin M Tu, Changyong Feng\",\"doi\":\"10.11919/j.issn.1002-0829.218026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Simpson's paradox is very prevalent in many areas. It characterizes the inconsistency between the conditional and marginal interpretations of the data. In this paper, we illustrate through some examples how the Simpson's paradox can happen in continuous, categorical, and time-to-event data.</p>\",\"PeriodicalId\":21886,\"journal\":{\"name\":\"上海精神医学\",\"volume\":\"30 2\",\"pages\":\"139-143\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d1/cd/sap-30-139.PMC5936043.pdf\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"上海精神医学\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.11919/j.issn.1002-0829.218026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"上海精神医学","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.11919/j.issn.1002-0829.218026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simpson's paradox is very prevalent in many areas. It characterizes the inconsistency between the conditional and marginal interpretations of the data. In this paper, we illustrate through some examples how the Simpson's paradox can happen in continuous, categorical, and time-to-event data.
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