模糊状态风险分析的广义Logistic回归理论与应用(4)——广义无条件与条件Logistic回归模型  

The Theory and Application of Generalized Logistic Regression for Risk Analysis of Fuzzy States(4)——Generalized Unconditional and Conditional Logistic Regression Models

作　　者：刘韵源[1] 刘嘉[2] 赵连俊 陈元立 周家丽 

机构地区：[1]北京中国医学科学院肿瘤研究所,北京100021 [2]北京大学医学部基础医学院 [3]中华医学会盐城市分会

出　　处：《中国公共卫生》2000年第12期1075-1078,共4页Chinese Journal of Public Health

基　　金：国家自然科学基金资助项目 !批准号:39770 832

摘　　要：本文发展了广义风险函数 ,用于Logistic回归模型 ,通过条件分量分析和实际应用 ,提出了“微弱相关影响因素”交互效应的“非线性放大作用”概念 。A general risk function is suggested and applied to logistic regression models in this paper.Through conditional component analysis and application to study data of liver cancer,a concept about nonlinear amplification action,ariginating from the crossing effects of weakly correlativeinfluencing factors,is proposed and the importance viewing things in their total is emphasized for preventive medicine studies.

关 键 词：广义风险函数 条件分量分析 广义Logistic回归 模糊状态风险分析 

分 类 号：O212.1[理学—概率论与数理统计] R195.1[理学—数学]