Sample Size Calculation in Animal Studies Using Resource Equation Approach 论文
2017Malaysian Journal of Medical Sciences引用 817顶会
Animal testing and alternativesComputational Drug Discovery Methods
详细信息
- 发表期刊/会议
- Malaysian Journal of Medical Sciences
- 发表日期
- 2017-01-01
- 发表年份
- 2017
关键词
Animal testing and alternativesComputational Drug Discovery Methods
摘要
Animal research plays an important role in the pre-clinical phase of clinical trials. In animal studies, the power analysis approach to sample size calculation is recommended. Whenever it is not possible to assume the standard deviation and the effect size, an alternative to the power analysis approach is the 'resource equation' approach, which sets the acceptable range of the error degrees of freedom (DF) in an analysis of variance (ANOVA). The aim of this article is to guide researchers in calculating the minimum and maximum numbers of animals required in animal research by reformulating the error DF formulas.