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女性全血比粘度参考值与地理因素回归分析
引用本文:葛淼. 女性全血比粘度参考值与地理因素回归分析[J]. 山东师范大学学报(自然科学版), 1998, 13(4): 413-416
作者姓名:葛淼
作者单位:陕西师范大学地理学系
摘    要:为制定中国健康女性全血比粘度参考值的一标准提供科学依据,收集了中国各地用毛细管法测定的健康女性全血比粘度参考值,对其与地理因素的关系进行了研究,发现海拔高度是影响健康女性全血比粘度参考值最主要的因素,随着海拔高度的逐渐增大,健康女性全血比粘度参考值也在逐渐增大,相关性显著,用多元回归分析的方法推导出了一回归方程,如果知道了中国某地的地理因素,就可用回归方程估算这个地区的健康女性全血比粘度参考值。依

关 键 词:全血比粘度 参考值 回归 血液流变学 地理因素

MULTIVARIATE REGRESSION ANALYSIS BETWEEN THE REFERENCE VALUE OF CHINESE HEALTHY WOMEN WHOLE BLOOD CONTRAST VISCOSITY AND GEOGRAPHICAL FACTORS
Ge Miao. MULTIVARIATE REGRESSION ANALYSIS BETWEEN THE REFERENCE VALUE OF CHINESE HEALTHY WOMEN WHOLE BLOOD CONTRAST VISCOSITY AND GEOGRAPHICAL FACTORS[J]. Journal of Shandong Normal University(Natural Science), 1998, 13(4): 413-416
Authors:Ge Miao
Abstract:In order to supply a basis for uniting the reference value standard of Chinese healthy women whole blood contrast viscosity,a research is made about the relationship between the reference value of Chinese healthy women whole blood contrast viscosity and five geographical factors.It is found that altitude is the main factor affecting the reference value of Chinese healthy women whole blood contrast viscosity.As the altitude increases gradually,the reference value of Chinese healthy women whole blood contrast viscosity also increases gradually;the correlation is quite obvious.Applying the method of mathematical regression analysis,one regression equation is given out.If geographical values are obtained in some area,the reference value of Chinese healthy women whole blood contrast viscosity of this area can be reckoned by using regression equation.Furthermore,according to the similarity of the reference value of Chinese healthy women whole blood contrast viscosity,taking the altitude as the main dividing basis and considering effects of other geographical factors and population distribution,China can be divided into six regions:Qingzang,Southwest,Northwest,Southeast,north and Northeast region.
Keywords:whole blood contrast viscosity  reference value  geographical elements  regression analysis  hemorheology
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