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.

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