Lee J
Department of Community, Occupational and Family Medicine, National University of Singapore.
Comput Biol Med. 1987;17(3):221-5. doi: 10.1016/0010-4825(87)90046-1.
Analysis of covariance (ANCOVA) is an important statistical procedure for the analysis of biomedical data; the procedure is used for the comparison of means between two or more groups of subjects exposed to contrasting stimulus with adjustment for confounding bias. Although ANCOVA is available in all the major statistical packages (e.g. SAS, SPSSX, BMDP), not all the important statistical aspects of ANCOVA are explicitly considered by these packages. This article expands the analysis of a numeric example included in the SAS GLM procedure to cover several crucial statistical aspects relevant to ANCOVA, and to highlight the meaning of the statistical results obtained.
协方差分析（ANCOVA）是生物医学数据分析中的一项重要统计方法；该方法用于比较两组或多组接受不同刺激的受试者的均值，并对混杂偏倚进行校正。尽管所有主流统计软件包（如SAS、SPSSX、BMDP）都提供了协方差分析功能，但这些软件包并未明确考虑协方差分析的所有重要统计方面。本文扩展了SAS GLM过程中包含的一个数值示例的分析，以涵盖与协方差分析相关的几个关键统计方面，并突出所获得统计结果的意义。
