Mauger E A, Kowalski C J, Schneiderman E D, Willis S M
Department of Biostatistics, University of Michigan, Ann Arbor 48109.
Int J Biomed Comput. 1994 Oct;37(2):105-12. doi: 10.1016/0020-7101(94)90133-3.
A PC program extending the procedure due to Carter and Yang (Commun Stat: Theory Methods, 8 (1986) 2507-2526) to allow unique times of measurement for subjects is described, illustrated and made available. Given longitudinal observations on each of N subjects comprising a single group, this program determines the lowest degree polynomial in time adequate to fit the average growth curve (AGC); estimates this curve and provides confidence bands for the AGC, and confidence intervals for the corresponding polynomial regression coefficients; and so-called prediction intervals which, with a given level of confidence, will contain the growth curve of a 'new' subject from the same population of which the N subjects constitute a random sample. Two kinds of missing data are accommodated. First, in the context of studies planned so that subjects will be measured at identical times and, second, in unstructured studies where subjects may present with their own, unique times of measurement.
描述、展示并提供了一个计算机程序，该程序扩展了卡特和杨（《通信统计：理论方法》，8（1986）2507 - 2526）的程序，以允许对受试者进行唯一的测量时间。给定由单个组的N个受试者中的每一个的纵向观察数据，该程序确定足以拟合平均生长曲线（AGC）的最低次数时间多项式；估计该曲线并为AGC提供置信带，为相应的多项式回归系数提供置信区间；以及所谓的预测区间，该区间在给定的置信水平下将包含来自同一总体的“新”受试者的生长曲线，其中N个受试者构成一个随机样本。该程序处理两种类型的缺失数据。第一种是在计划让受试者在相同时间进行测量的研究背景下，第二种是在非结构化研究中，受试者可能有自己独特的测量时间。
