摘要
目的探讨主成分Logistic回归方法在筛选冠心病危险因素中的应用。方法选择2009年4月-2010年8月在哈尔滨医科大学第一附属医院行冠脉造影术者,按照金标准分为冠心病组(465例)和对照组(277例);首先对Lo-gistic回归模型进行共线性诊断,然后应用主成分改进的Logistic回归分析,得到并解释最终的回归模型。结果共线性诊断提示各变量之间存在明显的共线性,采用主成分改进的Logistic回归分析显示,冠心病与年龄、性别、载脂蛋白A、TG、HDL-C、糖尿病史、高血压史、吸烟史在内的多种因素有关。结论主成分改进的Logistic回归在筛选冠心病危险因素中具有较好的作用,在对疾病危险因素进行Logistic回归分析时,若多变量间存在多重共线性,采用主成分改进的Lo-gistic回归分析能得出更好的回归模型。
Objective To explore the application of the logistic regression based on principal component analysis in the screening of risk factors of coronary heart disease （CHD）. Methods A total of 742 patients who received coronary angiogra- phy in the First Affliated Hospital of Harbin Medical University during April 2009 and August 2010 were recruited in the study. The patients were classified into the CHD group （n= 465） and the control group （n= 277） according to the gold standard diag- nosing CHD. After making multi - collinearity diagnosis on logistic regression model, the logistic regression model improved by principal component analysis was used to get and explain a new model. Results There was significant multi - collinearity among variables. The logistic regression model improved by principal component analysis showed that CHD was correlated with many factors such as age, gender, apoA, TG, HDL- C, diabetes history, hypertension history and smoking history. Conclu- sions The logistic regression model improved by principal component analysis is applicable in the screening of risk factors of CHD. It can provide a better regression model if there is multi - collinearity among variables.
出处
《实用预防医学》
CAS
2012年第8期1138-1140,共3页
Practical Preventive Medicine
基金
哈尔滨市科技创新人才研究专项资金项目(2006RFQXS072)
黑龙江省卫生厅项目(2003130)
关键词
冠心病
危险因素
主成分
LOGISTIC回归
Coronary heart disease
Risk factor
Principal component
Logistic regression
作者简介
行岳真（1985一），女，河南省平顶山市人，硕士研究生，主要从事医学领域统计学方法的应用与研究工作
通讯作者：隋虹
