ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest model were developed to predict postoperative recurrence. Model performance was ...

In this post, we’ll discuss some of the differences between fixed and random effects models when applied to panel data — that is, data collected over time on the same unit of analysis — and how these ...