逻辑回归简介：从基本概念到解读，特别关注护理领域。
An introduction to logistic regression: from basic concepts to interpretation with particular attention to nursing domain.
作者信息
Park Hyeoun Ae
机构信息
College of Nursing and System Biomedical Informatics National Core Research Center, Seoul National University, Seoul, Korea.
出版信息
J Korean Acad Nurs. 2013 Apr;43(2):154-64. doi: 10.4040/jkan.2013.43.2.154.
PURPOSE
The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and 2) examining use and reporting of LR in the nursing literature.
METHODS
Text books on LR and research articles employing LR as main statistical analysis were reviewed. Twenty-three articles published between 2010 and 2011 in the Journal of Korean Academy of Nursing were analyzed for proper use and reporting of LR models.
RESULTS
Logistic regression from basic concepts such as odds, odds ratio, logit transformation and logistic curve, assumption, fitting, reporting and interpreting to cautions were presented. Substantial shortcomings were found in both use of LR and reporting of results. For many studies, sample size was not sufficiently large to call into question the accuracy of the regression model. Additionally, only one study reported validation analysis.
CONCLUSION
Nursing researchers need to pay greater attention to guidelines concerning the use and reporting of LR models.
目的
本文有两个目的：1）介绍逻辑回归（LR），一种用于对多个自变量与一个分类因变量之间关系进行建模的多变量方法；2）考察护理文献中LR的使用和报告情况。
方法
回顾了关于LR的教科书以及将LR作为主要统计分析方法的研究文章。对2010年至2011年发表在《韩国护理学会杂志》上的23篇文章进行了分析，以评估LR模型的正确使用和报告情况。
结果
介绍了逻辑回归从诸如比值、比值比、对数变换和逻辑曲线等基本概念，到假设、拟合、报告、解释以及注意事项。在LR的使用和结果报告方面都发现了严重不足。对于许多研究来说，样本量不够大，无法对回归模型的准确性提出质疑。此外，只有一项研究报告了验证分析。
结论
护理研究人员需要更加关注关于LR模型使用和报告的指南。
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