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主成分logistic回归在筛选妊娠期糖尿病危险因素中的应用
引用本文:王丹,潘晓平.主成分logistic回归在筛选妊娠期糖尿病危险因素中的应用[J].现代预防医学,2008,35(5):826-827,830.
作者姓名:王丹  潘晓平
作者单位:1. 四川大学华西公共卫生学院卫生统计学教研室,成都,610041
2. 中国疾病预防控制中心妇幼保健中心
摘    要:目的]探讨主成分logistic回归分析方法在筛选妊娠期糖尿病危险因素中的作用.方法]首先对logistic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BMI在内的多种因素有关.结论]主成分改进的logistic回归在筛选妊娠期糖尿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,若变量间存在多重共线性,采用主成分改进的logistic回归分析能得出更合理的回归分析.

关 键 词:糖尿病  妊娠  危险因素  主成分  logistic回归  主成分改进  logistic  回归模型  筛选  妊娠期糖尿病  疾病危险因素  应用  DIABETES  MELLITUS  WOMEN  RISK  FACTORS  PRINCIPAL  COMPONENT  ANALYSIS  BASED  LOGISTIC  REGRESSION  多重共线性  存在  变量  结果  解释  共线性诊断  作用
文章编号:1003-8507(2008)05-0826-03
收稿时间:2007-07-04

APPLICATION OF LOGISTIC REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS ON RISK FACTORS OF WOMEN WITH GESTATIONAL DIABETES MELLITUS
WANG Dan,PAN Xiao-ping.APPLICATION OF LOGISTIC REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS ON RISK FACTORS OF WOMEN WITH GESTATIONAL DIABETES MELLITUS[J].Modern Preventive Medicine,2008,35(5):826-827,830.
Authors:WANG Dan  PAN Xiao-ping
Abstract:Objective] To explore the application of logistic regression based on principal component analysis on the risk factors of women with gestational diabetes mellitus. Methods] After making multicollinearity diagnosis on logistic regression model, the logistic regression model improved by principal component analysis was used to get and explain a new model. Resuits ] There was significant multicollinearity among variables. The results of the improved logistic regression showed that GDM concerned with many factors such as age, family history, BMI of prior to conception, etc. Conclusion] The improved logistic regression model is effective in analyzing the risk factors of women with GDM. It can conduct a more ideal model if there is multicollinearity among variables.
Keywords:Diabetes  Gestation  Risk factor  Principal component  Logistic regression
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