Sample Size Calculation in Animal Studies Using Resource Equation Approach.
By Wan Nor Arifin, W. M. Zahiruddin. Malaysian Journal of Medical Sciences, 2017
816 citations recorded by the source corpus.
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.
Subfields: Computational Theory and Mathematics, Small Animals
View Paper: https://www.semanticscholar.org/paper/4b3cbbc8deb094cfd94c4ae8df8ca055e32a9265
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In Computational Theory and Mathematics
In Small Animals
Citations in the corpus
- Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies (2020, background): “On the other hand, it should be noted that, for a sample size of 8 to 10 animals per group, statistical significance will not be accomplished unless a large or very large ES (> 2) is expected (45,46).”