Hu Liang-ping, Bao Xiao-lei, Guan Xue, Zhou Shi-guo
Academy of Military Medical Sciences, Beijing, China.
Zhong Xi Yi Jie He Xue Bao. 2012 Jan;10(1):35-8. doi: 10.3736/jcim20120106.
Sample size estimation is necessary for any experimental or survey research. An appropriate estimation of sample size based on known information and statistical knowledge is of great significance. This article introduces methods of sample size estimation of difference test for data with the design of one factor with two levels, including sample size estimation formulas and realization based on the formulas and the POWER procedure of SAS software for quantitative data and qualitative data with the design of one factor with two levels. In addition, this article presents examples for analysis, which will play a leading role for researchers to implement the repetition principle during the research design phase.
对于任何实验或调查研究来说,样本量估计都是必要的。基于已知信息和统计知识对样本量进行恰当估计具有重要意义。本文介绍了两水平单因素设计数据差异检验的样本量估计方法,包括样本量估计公式以及基于这些公式的实现方法,还有用于两水平单因素设计定量数据和定性数据的SAS软件的POWER过程。此外,本文还给出了分析示例,这将对研究人员在研究设计阶段实施重复原则起到引领作用。