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主成分改进的Logistic回归模型方法在流行病学分析中的应用
引用本文:裘炯良,郑剑宁,张扬.主成分改进的Logistic回归模型方法在流行病学分析中的应用[J].中国热带医学,2005,5(2):207-209.
作者姓名:裘炯良  郑剑宁  张扬
作者单位:1. 宁波出入境检验检疫局卫生检疫处,浙江,宁波,315012
2. 浙江大学医学院流行病学教研室,浙江,杭州,310006
基金项目:卫生部基金项目(No WKZ-2001-1-17)
摘    要:目的探讨在涉及多自变量的Logistic回归分析中变量间多重共线性的诊断和处理方法.方法应用主成分改进的Logistic回归方法进行多重共线性变量的诊断与处理. 结果去除了回归模型中变量间的多重共线性影响,建立了较为理想的关系模型. 结论在Logistic回归模型分析中应用上述方法进行多重共线性的诊断和处理是有效及可行的.

关 键 词:Logistic回归模型  流行病学分析  诊断与处理  Logistic回归分析  多重共线性  Logistic回归方法  改进  自变量  结论  主成分
文章编号:1009-9727(2005)02-207-03
修稿时间:2004年10月15

Application of modified logistic regression model in the analysis of epidemiology
QIU Jiong-liang,ZHENG Jian-ning,ZHANG Yang.Application of modified logistic regression model in the analysis of epidemiology[J].China Tropical Medicine,2005,5(2):207-209.
Authors:QIU Jiong-liang  ZHENG Jian-ning  ZHANG Yang
Institution:QIU Jiong-liang~1,ZHENG Jian-ning~1,ZHANG Yang~2.
Abstract:Objective To explore the diagnosis and treatment of multivariable multicollinearity in the logistic regression analysis. Methods The data with multivariable multicollinearity were diagnosed and treated using the logistic regression model method improved by principal component analysis. Results The effect of multicollinearity among variables were eliminated in the regression model and an ideal mathematical model was constructed. Conclusion The new method is effective and feasible for diagnosis and treatment of multivariable multicollinearity in the logistic regression model analysis.
Keywords:Multicollinearity  Logistic regression  Principal component  analysis  
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