Ge Feng, Jing Peng, Dongke Tu, Julia Z Zheng, Changyong Feng
{"title":"线性回归分析中的两个悖论。","authors":"Ge Feng, Jing Peng, Dongke Tu, Julia Z Zheng, Changyong Feng","doi":"10.11919/j.issn.1002-0829.216084","DOIUrl":null,"url":null,"abstract":"<p><p>Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection.</p>","PeriodicalId":21886,"journal":{"name":"上海精神医学","volume":"28 6","pages":"355-360"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b7/2d/sap-28-355.PMC5434296.pdf","citationCount":"6","resultStr":"{\"title\":\"Two Paradoxes in Linear Regression Analysis.\",\"authors\":\"Ge Feng, Jing Peng, Dongke Tu, Julia Z Zheng, Changyong Feng\",\"doi\":\"10.11919/j.issn.1002-0829.216084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection.</p>\",\"PeriodicalId\":21886,\"journal\":{\"name\":\"上海精神医学\",\"volume\":\"28 6\",\"pages\":\"355-360\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b7/2d/sap-28-355.PMC5434296.pdf\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"上海精神医学\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.11919/j.issn.1002-0829.216084\",\"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.1002-0829.216084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
