Design Experiments
Transparent, high-quality experimental design in animal studies, underpinned by rigorous internal validity, allows systematic reviews to reliably summarise evidence. By detailing eligibility criteria, randomisation, blinding and sample size calculations up front, researchers minimise bias and ensure that reported effects genuinely reflect the interventions under study. This clarity enables systematic reviewers to assess study quality accurately, pool data with confidence and draw robust conclusions. Ultimately, well-designed, transparent experiments not only strengthen the scientific and ethical foundations of preclinical research but also improve its translational value.
Experimental Design Assistant
The Experimental Design Assistant (EDA) is a free online tool developed by NC3Rs to help researchers in designing experiments that meet scientific rigor while adhering to ethical guidelines for minimising animal use. It also provides guidance on reducing subjective bias and selecting appropriate statistical methods.
Features
- Ethical Guidance: Advice and feedback on plans to minimise animal use.
- Visual Representation: Diagrammatic notation for experimental plans, with critiquing.
- Comprehensive Feedback: Tailored statistical and design recommendations.
- Resource Optimisation: Helps plan efficient experiments, saving time and resources.
- Statistical Guidance: Sample size calculations, randomisation, blinding.
How to get started
- Refer to the EDA User Guide for a walkthrough.
- Begin immediately in the Process Guide .
Internal validity of preclinical studies
Learn about the importance of internal validity preclinical experiments with Dr Kim Wever (Radboud UMC, NL):