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技术说明:估计奶牛营养实验中使用的混合模型的统计功效。

Technical note: estimating statistical power of mixed models used in dairy nutrition experiments.

作者信息

Kononoff P J, Hanford K J

机构信息

Department of Animal Science, University of Nebraska, Lincoln, Nebraska 68583-0908, USA.

出版信息

J Dairy Sci. 2006 Oct;89(10):3968-71. doi: 10.3168/jds.S0022-0302(06)72439-0.

Abstract

Statistical power is defined as the probability of correctly rejecting the null hypothesis. Power calculations may be useful in planning experiments. The objective of this technical note is to outline an applied method that estimates statistical power of a dairy nutrition experiment that employs a Latin square as the experimental design. Because the SAS MIXED procedure (PROC MIXED) is commonly used to analyze data sets, this note outlines basic programming procedures that may be used to estimate statistical power of a mixed model using this procedure.

摘要

统计功效被定义为正确拒绝原假设的概率。功效计算在实验设计中可能会有用。本技术说明的目的是概述一种应用方法,该方法可估计采用拉丁方作为实验设计的奶牛营养实验的统计功效。由于SAS混合过程(PROC MIXED)通常用于分析数据集,因此本说明概述了可用于使用此过程估计混合模型统计功效的基本编程过程。

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