摘要
论述了“微弱相关影响因素”概念及其在预防医学中的重要意义 ,并研究了适宜处理此类资料的统计方法。借助模糊状态概念、交叉积差和统计量和信息量寻优标准 ,发展了暴露水平聚类优化、状态变量选择通用算法 ,可明显提高检测、识别微弱相关影响因素的效能与统计分析水准。
The concept and statistical methods for weakly correlative factors,influencing the formation and development of chronic diseases,are proposed in this paper.By the aid of fuzzy state analysis,the Cross-Product Difference Sum(CPDS)and the Akaike's Information Criterion(AIC),a general algorithm,clustering fuzzy exposure levels and selecting covariates,is designed for solving problems connected with analytical abilities of detecting and recognozing weakly correlative-influencing factors.
出处
《中国公共卫生》
CAS
CSCD
北大核心
2000年第11期965-968,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:39770832
关键词
微弱相关影响因素
模糊状态
交叉积差和
信息量标准
Weakly correlative-influencing factors
Fuzzy state
Cross-Product Difference Sum(CPDS)
Akaike's Information Criterion(AIC)
