Schneiderman E D, Willis S M, Kowalski C J, Ten have T R
Department of Oral and Maxillofacial Surgery, Baylor College of Dentistry, Dallas, TX 75246.
Int J Biomed Comput. 1993 Jan;32(1):35-43. doi: 10.1016/0020-7101(93)90005-q.
We have previously published a GAUSS program for computing the Foulkes-Davis tracking index, gamma, from a one-sample longitudinal data set when no assumptions were made concerning the structure of the individual growth curves (Schneiderman et al., Am J Hum Biol, 4 (1992) 417-420). In this paper we consider the computation of the Foulkes-Davis index assuming that each individual growth curve may be adequately represented by a polynomial function in time and a GAUSS program performing these computations is made available. As with the two other tracking indices we have described, gamma and kappa (Schneiderman et al., Am J Hum Biol, 2 (1990) 475-490), this one can be used to evaluate regularity in patterns of growth or adaptation. An example is presented where statural growth in the same three groups considered in the earlier papers are analyzed. The small disparities between these and the earlier results are discussed in view of the different assumptions of the models and the differences in how they operationalize the concept of tracking.
我们之前发表了一个GAUSS程序，用于在不假设个体生长曲线结构的情况下，从单样本纵向数据集中计算福克斯 - 戴维斯追踪指数γ（施奈德曼等人，《美国人类生物学杂志》，4（1992）417 - 420）。在本文中，我们考虑在假设每个个体生长曲线都可以由时间的多项式函数充分表示的情况下计算福克斯 - 戴维斯指数，并提供了一个执行这些计算的GAUSS程序。与我们描述的其他两个追踪指数γ和κ（施奈德曼等人，《美国人类生物学杂志》，2（1990）475 - 490）一样，这个指数可用于评估生长或适应模式的规律性。给出了一个例子，分析了早期论文中所考虑的相同三组人群的身高增长情况。鉴于模型的不同假设以及它们在操作追踪概念方面的差异，讨论了这些结果与早期结果之间的微小差异。
