2017
DOI: 10.21315/mjms2017.24.5.11
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Sample Size Calculation in Animal Studies Using Resource Equation Approach

Abstract: 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 mi… Show more

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Cited by 355 publications
(199 citation statements)
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References 6 publications
(11 reference statements)
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“…The methodological quality of the included studies was moderate. In particular, no study estimated the sample size, since inadequate sample size can miss the real intervention effect in an experiment or excessive sample size can result in wasting animals and raising animal ethical issues [60]. No study blindingly assessed outcome, which could attribute to a 27% overestimation of the mean reported effect size [61].…”
Section: Discussionmentioning
confidence: 99%
“…The methodological quality of the included studies was moderate. In particular, no study estimated the sample size, since inadequate sample size can miss the real intervention effect in an experiment or excessive sample size can result in wasting animals and raising animal ethical issues [60]. No study blindingly assessed outcome, which could attribute to a 27% overestimation of the mean reported effect size [61].…”
Section: Discussionmentioning
confidence: 99%
“…and analyzed statistically using the "t" test or analysis of variance (ANOVA) "one-way" followed by the Bonferroni test, where P values less than 0.05 were considered significant. The values of E max were calculated by non-linear regression for all experiments performed (Jenkinson et al, 1995;Arifin & Zahiruddin, 2017). All data were analyzed using the Graphpad Prism ( program version 5.01 (Graphpad Software Inc., San Diego CA, USA).…”
Section: Resultsmentioning
confidence: 99%
“…The sample size considering 10 percent attrition was calculated according to the previously described method (19). Mice (n = 20) were divided into five groups.…”
Section: Vaccine Preparation Immunization and Challenge Protocolmentioning
confidence: 99%