用于在受试者可能存在缺失数据时估计多项式增长、速度和加速度曲线的计算机程序。
PC program for estimating polynomial growth, velocity and acceleration curves when subjects may have missing data.
作者信息
Schneiderman E D, Willis S M, Kowalski C J
机构信息
Department of Oral and Maxillofacial Surgery, Baylor College of Dentistry, Dallas, TX 75246.
出版信息
Int J Biomed Comput. 1993 Nov;33(3-4):249-65. doi: 10.1016/0020-7101(93)90039-9.
A stand-alone, menu-driven PC program, written in GAUSS386i, for estimating polynomial growth, velocity, and acceleration curves from longitudinal data is described, illustrated and made available to interested readers. Missing data are accommodated: we assume that the study is planned so that individuals will have common times of measurement, but allow some of the sequences to be incomplete. The degrees, Di, adequate to fit the growth profiles of the N individuals are determined and the corresponding polynomial regression coefficients are calculated and can be saved in ASCII files which may then be imported into a statistical computing package for further analysis. Examples of the use of the program are provided.
本文描述、举例说明了一个用GAUSS386i编写的独立的、菜单驱动的个人计算机程序，该程序用于根据纵向数据估计多项式增长、速度和加速度曲线，并向感兴趣的读者提供。该程序可处理缺失数据：我们假设研究经过规划，使个体具有共同的测量时间，但允许某些序列不完整。确定适合N个个体生长曲线的次数Di，并计算相应的多项式回归系数，这些系数可以保存到ASCII文件中，然后导入到统计计算软件包中进行进一步分析。文中还提供了该程序的使用示例。
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