Power and sample size requirements are part of randomized controlled studies
Realized in R-Statistics
A roadmap for obtaining the required sample size for mathematical and machine-learning data modelers.
Sample size and power calculation are crucial steps in statistical design planning and randomized controlled experimental planning. Obtaining sample sizes for fitting and testing algorithmic machine-learning models poses a new set of challenges for sample size planning. We have written a framework for sample size planning in these cases.
You can read the scientific paper in Computational Brain & Behavior.