Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...

Proof of the fashion industry's infatuation with thin models on the runway. Liz Black is the creator of the website P. S. It’s Fashion and a lead plus-size fashion writer for Refinery29. In a recent ...

Implementation of the Time-to-Event Continuous Reassessment Method Design in a Phase I Platform Trial Testing Novel Radiotherapy-Drug Combinations—CONCORDE BayeSize applies the concept of effect size ...

Acknowledgments: I am grateful to Mary Mack, CEDS, CISSP, for her valuable feedback on an early draft of this piece. At some point eDiscovery practitioners seem to have tacitly agreed that sample ...

Sample size is not magic. It’s a good mantra, worth repeating. It’s even worth putting into song, thanks to Ted Berg. But it’s not magic, and it’s not worth all the inaction it can inspire. Spend all ...