使用高斯计算福克斯和戴维斯的非参数跟踪指数

Computation of Foulkes and Davis' nonparametric tracking index using GAUSS.

作者信息

Schneiderman Emet D, Kowalski Charles J, Ten Have Thomas R, Willis Stephen M

机构信息

Department of Oral and Maxillofacial Surgery, Baylor College of Dentistry, Dallas, Texas 75246.

Department of Oral Biology, The University of Michigan, Ann Arbor, Michigan 48109.

出版信息

Am J Hum Biol. 1992;4(3):417-420. doi: 10.1002/ajhb.1310040318.

DOI:10.1002/ajhb.1310040318

PMID:28524299

Abstract

Foulkes and Davis (1981) define tracking as the maintenance of relative rank over a given time span. This paper outlines the development of their statistic, based on a set of individual growth profiles, which estimates the degree of tracking observed in a one-sample longitudinal data set and shows how confidence intervals for the corresponding population parameter may be constructed. An example using a measure of skeletal growth is given and a GAUSS program to do the computations is provided. (Information on obtaining the GAUSS program is provided in the Appendix.) Properties of this statistical approach to tracking are contrasted with another non-parametric method based on Cohen's kappa statistic. © 1992 Wiley-Liss, Inc.

摘要

福克斯和戴维斯（1981年）将追踪定义为在给定时间段内维持相对排名。本文概述了他们基于一组个体生长曲线的统计方法的发展，该方法估计了在单样本纵向数据集中观察到的追踪程度，并展示了如何构建相应总体参数的置信区间。给出了一个使用骨骼生长测量值的示例，并提供了一个用于进行计算的GAUSS程序。（附录中提供了获取GAUSS程序的信息。）将这种追踪统计方法的特性与另一种基于科恩卡帕统计量的非参数方法进行了对比。© 1992威利 - 利斯公司。