Khamis H J, Guo Shumei
Department of Mathematics and Statistics and Department of Community Health, School of Medicine, Wright State University, Dayton, Ohio 45435.
Am J Hum Biol. 1993;5(6):669-679. doi: 10.1002/ajhb.1310050609.
The Roche-Wainer-Thissen (RWT) prediction model, developed in 1975, predicts the adult stature of a child based on age, current stature, current weight, current skeletal age, and the average stature of the parents. Generally, the method has worked well; however, there are certain steps in the procedure that can be improved. Seven variations of the current version of the RWT prediction model are investigated and compared in terms of the accuracy and reliability of prediction, culminating in a recommendation for the prediction of adult stature in Caucasian Americans. The recommended method, called multivariate cubic spline smoothing [MCS (1)], uses cubic splines in the smoothing part of the RWT prediction model, resulting in a simpler (i.e., fewer steps) method with smaller maximum deviations between predicted and actual adult statures than the current multivariate semi-metric smoothing (MS ) method. © 1993 Wiley-Liss, Inc.
罗氏-韦纳-蒂森(RWT)预测模型于1975年开发,它基于年龄、当前身高、当前体重、当前骨骼年龄以及父母的平均身高来预测儿童的成人身高。一般来说,该方法效果良好;然而,该过程中的某些步骤仍可改进。本文研究并比较了当前版本RWT预测模型的七种变体在预测准确性和可靠性方面的表现,最终为预测成年美国白人的身高给出了建议。推荐的方法称为多元三次样条平滑法[MCS(1)],它在RWT预测模型的平滑部分使用三次样条,从而得到一种比当前多元半度量平滑法(MS)更简单(即步骤更少)的方法,且预测的成人身高与实际成人身高之间的最大偏差更小。© 1993威利-利斯公司。