Animal pilot studies should not be used to estimate sample size if effect size and population variance are unknown
Reducing the number of animals required for a given experiment is part of the 3Rs strategies for animal welfare. Sample size estimation is a critical step in efficient and ethical experimental design. It is generally believed that pilot studies can be used to estimate sample sizes, which could lead to an overall reduction in the number of animals used. As part of the standard approach to ensuring that a planned animal experiment has sufficient statistical power, estimates of effect size and population variance are required. Here we derive the distribution of the sample size estimator when both effect size and variance are unknown. We show that, in this case, it is not feasible to conduct a preliminary pilot study to estimate the required sample size. Our analysis indicates that the sample size of a useful pilot study will often be much larger than that of the main study itself when the effect size is unknown. Therefore, we conclude that performing pilot studies with the aim of estimating sample size will not help to minimize the overall number of animal experiments in basic or pre-clinical research. A practical example is given, and alternative approaches are proposed and discussed.
Authors
- Jochen Wilhelm (ORCID: https://orcid.org/0000-0001-5544-9647)
- Peter Jedlička (ORCID: https://orcid.org/0000-0001-6571-5742)
- Alex D. Bird (ORCID: https://orcid.org/0000-0003-4895-8253)
Institutions
- Frankfurt Institute for Advanced Studies (DE)
- Ernst Strüngmann Institute for Neuroscience (DE)
- German Center for Lung Research (DE)
- Universities of Giessen and Marburg Lung Center (DE)
- Giessen School of Theology (DE)
- Cardio-Pulmonary Institute (DE)
Publication Details
- Journal
- ALTEX
- Published
- 2025-01-01
- DOI
- https://doi.org/10.14573/altex.2408141
- Primary Topic
- Animal testing and alternatives
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung