Adjustment | Understanding Medical Research

Adjustment is the main tool for making observational data behave more like a randomized trial. This video covers how statistical adjustment cuts the link between a confounder and an outcome, how to read a multivariable model, and why unmeasured confounders remain out of reach. Chapters: 00:00 Why adjustment exists 00:33 Rosé and height 03:06 Stratification 03:52 Multivariable adjustment 04:29 Fresh fruit and heart disease 07:04 Reading an adjusted result 08:29 Limits of adjustment 10:55 Take-home points Learning objectives: After watching, you'll be able to: - Explain how stratification and multivariable adjustment remove the influence of a measured confounder - Identify the dependent variable, independent variable, and covariates in a published regression - Weigh the limits of adjustment, including linear assumptions and poorly measured or unmeasured confounders 📺 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