经典判别分析与二态Logistic回归在伊朗萨达什特市芥子气暴露和非暴露群体化学受害者分离中的比较

Q4 Medicine

Iranian Journal of War and Public Health Pub Date : 2020-08-01 DOI:10.52547/IJWPH.12.3.189

Z. Bigdeli, T. Ghazanfari, M. Naghizadeh, M. Nasiri, S. Faghihzadeh

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引用次数: 0

摘要

本研究的目的是利用经典判别分析和双态逻辑回归，并选择最佳分析方法，将芥子气化学受害者分为硫磺芥子气暴露组和非暴露组。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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

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.

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来源期刊

Iranian Journal of War and Public Health Medicine-Medicine (miscellaneous)

CiteScore

0.40

自引率

0.00%

发文量

审稿时长

16 weeks