Logistic回归模型在高血压患病率影响因素分析中的应用

Application of Logistic Regression Model in Analyzing Influential Factors of High Blood Pressure Ratio

从流行病学角度出发使用现代数理统计方法探讨高血压的致病因素，对高血压的防治和研究都是非常重要的．文中用Ｌｏｇｉｓｔｉｃ回归的方法，对云南省约４万人的样本数据进行分析，以期获得高血压与年龄、城乡、饮酒、体重指数等多种因素之间定性和定量的关系［１］．

From epidemicology point of view,modern mathematical statistics method is used to discuss result in disease factors which is important to prevention and research of high blood pressure.Logistic regression analysis method is used to analyze data about forty thousands in Yunnan Province,and obtain the related conclusion from many factors concerning high blood pressure.