{"title":"队列研究中一些推论问题","authors":"Edward D. Lustbader , Suresh H. Moolgavkar","doi":"10.1016/S0021-9681(87)80017-6","DOIUrl":null,"url":null,"abstract":"<div><p>This paper uses a detailed example to illustrate how to detect individual observations that disproportionately influence the results of hypothesis testing with relative risk regression models.</p></div>","PeriodicalId":15427,"journal":{"name":"Journal of chronic diseases","volume":"40 ","pages":"Pages 133S-137S"},"PeriodicalIF":0.0000,"publicationDate":"1987-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0021-9681(87)80017-6","citationCount":"4","resultStr":"{\"title\":\"Some problems of inference in cohort studies\",\"authors\":\"Edward D. Lustbader , Suresh H. Moolgavkar\",\"doi\":\"10.1016/S0021-9681(87)80017-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper uses a detailed example to illustrate how to detect individual observations that disproportionately influence the results of hypothesis testing with relative risk regression models.</p></div>\",\"PeriodicalId\":15427,\"journal\":{\"name\":\"Journal of chronic diseases\",\"volume\":\"40 \",\"pages\":\"Pages 133S-137S\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0021-9681(87)80017-6\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of chronic diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0021968187800176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of chronic diseases","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021968187800176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper uses a detailed example to illustrate how to detect individual observations that disproportionately influence the results of hypothesis testing with relative risk regression models.
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