二分类Logistic回归算法在化妆品功效评价中的应用

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【摘要】 本文应用R语言对化妆品功效评价中产生的数据进行了基于二分类Logistic回归分析。使用逐步回归方法，发现数据自变量与因变量间的关系与差异，并建立Logistic回归模型，为今后化妆品功效试验设计参数的纳排方法提供重要参考。

【关键词】 R语言;化妆品功效评价;Logistic回归

【DOI编码】 10.3969/j.issn.1674-4977.2022.01.020

Application of Binary Logistic Regression Algorithm in Efficacy

Evaluation of Cosmetics

WANG Fu-xin，JIAO Xiao-man，SHI Yan-tong

（Liaoning Institute of Drug Control，Shenyang 110036，China）

Abstract： In this study，R language is used to analyze the data generated in the cosmetic efficacy evaluation based on binary logistic regression. Using stepwise regression method to uncover the relationships and the difference between independent variables and dependent variables. After that，the logistic regression model was established. The result will play an important role for the inclusion and exclusion methods of cosmetic efficacy evaluation experiment design in the future.

Key words： R language;cosmetic efficacy evaluation;logistic regression

在科学研究中，统计软件是必不可缺的实用工具。（剩余4569字）