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疾病空间分布趋势面模型的共线性偏倚及其测量与控制
引用本文:薛付忠,王洁贞,马吉祥,张际文,王振光.疾病空间分布趋势面模型的共线性偏倚及其测量与控制[J].中国卫生统计,2004,21(2):81-84.
作者姓名:薛付忠  王洁贞  马吉祥  张际文  王振光
作者单位:1. 山东大学公共卫生学院,250012
2. 山东省疾病预防控制中心
摘    要:目的探讨趋势面分析中共线性偏倚及其测量与控制方法.方法以疾病监测资料为基础,引用回归诊断方法识别趋势面模型的共线性偏倚,进一步用岭回归趋势面模型控制共线性偏倚.结果趋势面分析往往存在共线性偏倚,利用岭回归趋势面分析可以在一定程度上控制共线性偏倚.结论在作趋势面分析时应当考虑共线性偏倚对结果的影响,并设法予以控制.

关 键 词:地理流行病学  趋势面模型  共线性偏倚  岭回归

Measure and Control of Multi-collinearity Bias in Trend-surface Models for Spatial Distribution of Disease
Xue Fuzhong,Wang Jiezhen,Ma Jixiang,et al..Measure and Control of Multi-collinearity Bias in Trend-surface Models for Spatial Distribution of Disease[J].Chinese Journal of Health Statistics,2004,21(2):81-84.
Authors:Xue Fuzhong  Wang Jiezhen  Ma Jixiang  
Abstract:Objective To measure the multi-collinearity bias in trend-surface models and to control its impaction to the results of trend-surface analysis.Methods Based on the data of surveillance of disease, use the method of regression diagnostics to measure the multi-collinearity bias in the least square estimation trend-surface models ,and use the method of ridge regression to control the multi-collinearity bias in the least square estimation trend-surface models. Results there is multi-collinearity bias in the result of the least square estimation trend-surface model, use the method of ridge regression can control the multi-collinearity bias.Conclusion To the practice of trend-surface analysis in the study of geographical epidemiology, we should measure and control the multi-collinearity bias in trend-surface models.
Keywords:Geographical epidemiology  Trend-surface model  Multi-collinearity  Biasridge regression
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