{"title":"估计药物反应有效窗口的两阶段设计","authors":"Dianpeng Wang, Yubin Tian","doi":"10.1109/BMEI.2010.5639444","DOIUrl":null,"url":null,"abstract":"In pharmaceutical analysis, the window that cases effective response with probability larger than p is important and need to be precisely estimated. For this difficult issue, we propose a two-phase design by combining D-optimal strategy and likelihood recursive approximation to estimate it. Simulation study shows that the estimate is accurate and reliability.","PeriodicalId":231601,"journal":{"name":"2010 3rd International Conference on Biomedical Engineering and Informatics","volume":"560 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A two-phase design for estimating the effective window of pharmaceutical response\",\"authors\":\"Dianpeng Wang, Yubin Tian\",\"doi\":\"10.1109/BMEI.2010.5639444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In pharmaceutical analysis, the window that cases effective response with probability larger than p is important and need to be precisely estimated. For this difficult issue, we propose a two-phase design by combining D-optimal strategy and likelihood recursive approximation to estimate it. Simulation study shows that the estimate is accurate and reliability.\",\"PeriodicalId\":231601,\"journal\":{\"name\":\"2010 3rd International Conference on Biomedical Engineering and Informatics\",\"volume\":\"560 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Biomedical Engineering and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2010.5639444\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2010.5639444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A two-phase design for estimating the effective window of pharmaceutical response
In pharmaceutical analysis, the window that cases effective response with probability larger than p is important and need to be precisely estimated. For this difficult issue, we propose a two-phase design by combining D-optimal strategy and likelihood recursive approximation to estimate it. Simulation study shows that the estimate is accurate and reliability.