Determining sample size for progression criteria for pragmatic pilot RCTs: the hypothesis test strikes back! | Pilot and Feasibility Studies | Full Text
Determining sample size for progression criteria for pragmatic pilot RCTs: the hypothesis test strikes back! | Pilot and Feasibility Studies | Full Text
Improving reproducibility in animal research by splitting the study population into several 'mini-experiments' | Scientific Reports
Statistical Power and Choosing the Right Sample Size
A biologist's guide to statistical thinking and analysis
Is n = 30 really enough? A popular inductive fallacy among data analysts. | by Abhibhav Sharma | Towards Data Science
Cecile Janssens Twitterissä: "When sample size is too large, your study has sufficient power to pick up small effects, much smaller than you are interested in. https://t.co/Ptshvnvcvs" / Twitter