(What to do) When Predictors Co-Vary
What is this?
Excerpt from blog: Co-varying predictors can be a messy business. They make estimates unstable, reducing our statistical power and making interpretation more difficult. In this post I will demonstrate how ignoring the presence of co-variation between predictors when exploring our models can lead to odd results and how we might deal with this issue.
- Link to blog here: https://shouldbewriting.netlify.app/posts/2020-08-11-when-predictors-covary/
Power Analysis
This section has all resources I encounter to run power analysis regardless of them using R or not.