多元线性回归在中药研究中的应用

Application of multiple linear regression in traditional Chinese medicine

利用多元线性回归可对待解决问题提出最优的回归方程组,说明各个自变量对因变量的影响;即使数据量很大,也不需要繁琐的运算过程,仍然能够迅速地得出结果,而且还能够通过系数得到对各变量的理解,因此该方法对中药研究中的有关问题特别适用。就多元线性回归联合紫外光谱(UV)法、红外光谱(IR)法和高效液相色谱(HPLC)法在中药生产加工、质量控制、药效物质基础研究等方面的应用进行综述,以期为多元线性回归法在中药研究中的更广泛应用提供参考。

Multiple linear regression can be used to produce an optimal set of regression equations for a problem that accounts for the effect of the respective variables on the dependent variable.It can be carried out very quickly with large amounts of data,without the need for cumbersome arithmetic,and it is also possible to obtain an understanding of the individual variables through the coefficients,making it particularly suitable for the study of problems in Chinese medicine.This paper reviews the application of multiple linear regression with ultraviolet(UV)and infrared(IR)spectroscopy and high performance liquid chromatography(HPLC)in the production and processing,quality control,and therapeutic material basis studies of traditional Chinese medicines,with a view to providing some references for future applications of multiple linear regression in the study of traditional Chinese medicines.