2019
DOI: 10.1101/864652
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RePAIR: a power solution to animal experimentation

Abstract: Low statistical power challenges the reliability of animal research; yet, increasing sample sizes to the required level raises important ethical and practical issues. We present an alternative solution, RePAIR, which capitalizes on the observation that control groups in general are 15 expected to be similar to each other. As shown in a simulation study, including information of previous control experiments in the statistical analysis using RePAIR reduced the required sample size by 49% or increased power up to… Show more

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Cited by 6 publications
(7 citation statements)
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“…The application relies on the observation that control groups generally are similar. In a simulation analysis power increase up to 100% with half the required sample size (Bonapersona, Hoijtink, et al., 2019). Then, on another level timely machine learning methods will be increasingly applied in animal research for instance for, for example, recognition and classification of facial expressions that may reflect emotional states (Dolensek et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The application relies on the observation that control groups generally are similar. In a simulation analysis power increase up to 100% with half the required sample size (Bonapersona, Hoijtink, et al., 2019). Then, on another level timely machine learning methods will be increasingly applied in animal research for instance for, for example, recognition and classification of facial expressions that may reflect emotional states (Dolensek et al., 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The application relies on the observation that control groups generally are similar. In a simulation analysis power increase up to 100% with half the required sample size (Bonapersona, Hoijtink, et al, 2019).…”
Section: Molendijk and De Kloetmentioning
confidence: 99%
“…reconstructions of molecularly characterized neurons in the mouse (Winnubst et al, 2019)-RePAIR-a novel statistical tool for power calculations in animal experimentation that takes into account previous datasets to decrease sample sizes (Bonapersona et al, 2019)-and DeepLabCut-a free open source software for animal behavioral quantification that eliminates the need for expensive commercial alternatives (Mathis et al, 2018;Nath et al, 2019). These tools are built by researchers for researchers, to facilitate access to relevant data and analysis, increase reproducibility, promote standardization of experimental design, provide avenues for innovative secondary analyses, and encourage data sharing and collaborations.…”
Section: Discussionmentioning
confidence: 99%
“…To determine sample size, we incorporated information from control groups derived from previously published experiments on zebrafish alarm substances observing bottom-dwelling (Lima-Maximino et al, 2020;Quadros et al, 2016;Speedie and Gerlai, 2008) and a series of four small experiments on the effects of CAS on behavior during exposure (https://github.com/lanec-unifesspa/5-HT-CAS/tree/master/data/behavioral/metanalysis), following the RePAIR approach (Bonapersona et al, 2019). Sample sizes, means, and standard deviations for the primary endpoint "Time on bottom" were used to produce a prior distribution on the RePAIR script (https://utrecht-university.shinyapps.io/repair/).…”
Section: Sample Size Determinationmentioning
confidence: 99%