二项分类logistic回归的基本原理和关键问题
Chinese Journal of Antituberculosis(2016)
Abstract
二项分类logistic回归是医学研究中常用的方法,优势比及其95%可信区间是logistic回归分析最重要的参数值,直接反映了自变量作用的大小和方向.而样本含量、自变量筛选、变量赋值和结果解释则是进行logistic回归分析的关键问题,决定了回归分析是否能得到相对最佳的回归模型而准确反映自变量的影响作用,作者将就上述问题进行阐述.
MoreKey words
Regression analysis,Logistic models,Odds ratio
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