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一个用于从单样本纵向数据集中计算麦克马汉追踪指数的计算机程序。

A PC program for computing McMahan's tracking indices from one-sample longitudinal data sets.

作者信息

Guo I Y, Ten Have T R, Kowalski C J, Schneiderman E D, Willis S M

机构信息

Department of Public Health Sciences, Baylor College of Dentistry, Dallas, TX 75266-0677.

出版信息

Int J Biomed Comput. 1994 May;35(4):255-66.

PMID:8063454
Abstract

Tracking refers to regular, predictable growth behavior. Most definitions of the term are related to the idea that tracking occurs to the extent that individuals' repeated measurements maintain their relative positions in the distribution of the measurement whose growth is being monitored as that distribution changes over time. In this paper we describe four indices of tracking, all due to McMahan (Biometrics, 37 (1981) 447-455), which may be used to measure the extent to which a given longitudinal sample exhibits this 'regular behavior,' and we provide a program, written in GAUSS386i, for performing the associated computations. An example is given, and the values of McMahan's indices are compared to several alternative measures of tracking.

摘要

追踪是指有规律、可预测的生长行为。该术语的大多数定义都与这样一种观点相关,即追踪发生的程度是个体的重复测量在其生长被监测的测量分布中随着时间推移而变化时保持其相对位置。在本文中,我们描述了四个追踪指数,均由麦克马汉提出(《生物统计学》,37卷(1981年)第447 - 455页),这些指数可用于测量给定纵向样本表现出这种“规律行为”的程度,并且我们提供了一个用GAUSS386i编写的程序来执行相关计算。给出了一个示例,并将麦克马汉指数的值与几种追踪的替代测量方法进行了比较。

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