Simpson J M, Brennan P J, McGilchrist C A, Blacket R B
Int J Epidemiol. 1982 Mar;11(1):76-81. doi: 10.1093/ije/11.1.76.
Adjustment of observed serum cholesterol levels for biological and environmental variables is an essential step in studying the mode of inheritance of serum cholesterol. Body weight, measured as weight/height2, is found to be an important variable not previously taken into account in regression equations. A method is given for adjusting cholesterol levels for age, sex and body weight, thus obtaining residuals which represent the deviations of cholesterol levels from the mean of the general population for each category of these three factors. The procedure for incorporating into the model other variables, that are found to have a significant effect on cholesterol level, is described. Polynomials and inverse polynomials of degree three fit the data equally well over a restricted range. However, inverse polynomials are chosen as they appear to have a more appropriate shape and are likely to agree better with observed values over a greater age range.
针对生物学和环境变量对观察到的血清胆固醇水平进行调整，是研究血清胆固醇遗传模式的关键步骤。以体重/身高²衡量的体重，被发现是回归方程中一个此前未被考虑的重要变量。本文给出了一种针对年龄、性别和体重调整胆固醇水平的方法，从而得到残差，这些残差代表了在这三个因素的每一个类别中，胆固醇水平与总体人群均值的偏差。文中描述了将其他被发现对胆固醇水平有显著影响的变量纳入模型的过程。三次多项式和三次反多项式在有限范围内对数据的拟合效果相同。然而，选择反多项式是因为它们看起来形状更合适，并且在更大的年龄范围内可能与观测值更吻合。
