{"title":"Nonleast-squares jackknife regression in drug design.","authors":"P P Mager","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Nonleast-squares jackknife regression was applied to model a quantitative structure-activity relationship (QSAR) analysis of butyrophenones. Dependent physicochemical and dependent psychopharmacological parameters were correlated, and the robustness of the model was confirmed by resampling.</p>","PeriodicalId":11271,"journal":{"name":"Drug design and delivery","volume":"7 2","pages":"119-29"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug design and delivery","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nonleast-squares jackknife regression was applied to model a quantitative structure-activity relationship (QSAR) analysis of butyrophenones. Dependent physicochemical and dependent psychopharmacological parameters were correlated, and the robustness of the model was confirmed by resampling.
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