The Interpretation of Negative Studies | Understanding Medical Research

A study with a P-value above 0.05 is called negative, but many of those studies are simply underpowered, and the difference matters. This video covers what makes a study truly negative, how to check the confidence interval against the minimum clinically important difference, and how power calculations work. Chapters: 00:00 Goals and a street survey 01:00 A p-value of 0.83 02:03 Negative versus underpowered 04:01 A music therapy trial for autism 05:35 Minimum clinically important difference 07:53 Reading the confidence interval 11:43 Two worked examples 13:37 Power calculations 15:06 Take-home points Learning objectives: After watching, you'll be able to: - Distinguish a truly negative study from an underpowered one - Explain why the minimum clinically important difference is the key to reading a negative result - Use a confidence interval to judge whether a study could have detected a meaningful effect 📺 Watch the full playlist on YouTube: https://www.youtube.com/playlist?list=PLh9mgdi4rNewVyTec_MVGxIbNSEeMhEsZ 🎓 Enroll on Coursera for assessments and a certificate: https://www.coursera.org/learn/medical-research 🌐 Explore more learning opportunities on Yale Online: https://online.yale.edu/courses/understanding-medical-research-your-facebook-friend-wrong