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Research insights
Practical guides on critical appraisal, statistical methods, and AI-assisted peer review.
- 9 min read
The Multiple Comparisons Problem: A Reader's Guide
How running many statistical tests inflates false positives, why so many papers get it wrong, and a practical checklist to spot it when you read research.
- 5 min read
How to Read a Clinical Trial Critically
A practical framework for researchers and clinicians: eight questions every RCT reader should answer before trusting a result.
- 4 min read
5 Statistical Flaws AI Peer Review Catches First
Most reviewers miss Bonferroni corrections, interaction effects, and undisclosed COIs. Here are the five patterns AI flags before you finish reading the abstract.