Comparison of Classic Discriminant Analysis and Two-state Logistic Regression in Separation of Sardasht City, Iran, Chemical Victims to Mustard Gas Exposed and Non-Exposed Groups
Z. Bigdeli, T. Ghazanfari, M. Naghizadeh, M. Nasiri, S. Faghihzadeh
{"title":"Comparison of Classic Discriminant Analysis and Two-state Logistic Regression in Separation of Sardasht City, Iran, Chemical Victims to Mustard Gas Exposed and Non-Exposed Groups","authors":"Z. Bigdeli, T. Ghazanfari, M. Naghizadeh, M. Nasiri, S. Faghihzadeh","doi":"10.52547/IJWPH.12.3.189","DOIUrl":null,"url":null,"abstract":"The aim of this study was to separate the chemical victims of mustard gas into exposed to and non-exposed groups to sulfur mustard using classical discriminant analysis and two-state logistic regression and selection of the best analysis.","PeriodicalId":36907,"journal":{"name":"Iranian Journal of War and Public Health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of War and Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52547/IJWPH.12.3.189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of this study was to separate the chemical victims of mustard gas into exposed to and non-exposed groups to sulfur mustard using classical discriminant analysis and two-state logistic regression and selection of the best analysis.
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
