Animal Experiment Sample Size Calculator

Alpha (significance level): Power (1 – Beta): Effect Size:

Here’s a simplified table summarizing key aspects related to sample size determination for animal experiments:

Aspect	Description
Study Design	Types (e.g., randomized controlled trials, observational studies)
Statistical Power	Generally, a power of 0.80 (80%) is recommended to detect a true effect
Effect Size	The magnitude of the difference you expect to detect (small, medium, large)
Alpha Level	Typically set at 0.05 for significance testing
Variability	Standard deviation of the outcome measures used to estimate sample size
Ethical Considerations	Follow the 3Rs: Replacement, Reduction, Refinement
Pilot Studies	Conduct pilot studies to estimate parameters like effect size and variability
Type of Animal	Different species have different physiological and behavioral characteristics
Expected Dropout Rate	Account for potential loss of subjects during the study
Sample Size Calculation	Use statistical software or formulas (e.g., G*Power, Epi Info) for precise calculations
Regulatory Guidelines	Follow guidelines from bodies like NIH, ARRIVE, and local ethics committees