{"title":"验证性多人群裁剪临床试验决策的统计框架","authors":"B. Millen, A. Dmitrienko, S. Ruberg, Lei-Bin Shen","doi":"10.1177/0092861512454116","DOIUrl":null,"url":null,"abstract":"This article focuses on statistical analysis of clinical trials pursuing tailored therapy objectives, wherein evaluation of treatment effect occurs in the overall population as well as in a predefined subpopulation(s). The design and analysis principles presented provide a framework for decision making based on these novel multipopulation tailoring trial designs, considering the particular case of confirmatory trials. These principles include traditional multiple testing considerations, as well as 2 new analysis principles.","PeriodicalId":391574,"journal":{"name":"Drug information journal : DIJ / Drug Information Association","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"A Statistical Framework for Decision Making in Confirmatory Multipopulation Tailoring Clinical Trials\",\"authors\":\"B. Millen, A. Dmitrienko, S. Ruberg, Lei-Bin Shen\",\"doi\":\"10.1177/0092861512454116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article focuses on statistical analysis of clinical trials pursuing tailored therapy objectives, wherein evaluation of treatment effect occurs in the overall population as well as in a predefined subpopulation(s). The design and analysis principles presented provide a framework for decision making based on these novel multipopulation tailoring trial designs, considering the particular case of confirmatory trials. These principles include traditional multiple testing considerations, as well as 2 new analysis principles.\",\"PeriodicalId\":391574,\"journal\":{\"name\":\"Drug information journal : DIJ / Drug Information Association\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug information journal : DIJ / Drug Information Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0092861512454116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug information journal : DIJ / Drug Information Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0092861512454116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Statistical Framework for Decision Making in Confirmatory Multipopulation Tailoring Clinical Trials
This article focuses on statistical analysis of clinical trials pursuing tailored therapy objectives, wherein evaluation of treatment effect occurs in the overall population as well as in a predefined subpopulation(s). The design and analysis principles presented provide a framework for decision making based on these novel multipopulation tailoring trial designs, considering the particular case of confirmatory trials. These principles include traditional multiple testing considerations, as well as 2 new analysis principles.