Background One non-randomized approach to estimate the average effect of a newly introduced treatment is to compare observed outcomes under the new treatment with predicted outcomes under the standard...

Tree-based models such as Random Forest and XGBoost are increasingly being used for clinical prediction, but certain aspects of their behavior are often overlooked. This article aims to illustrate the...

Let’s admit right away that “marginal effects” doesn’t sound like the most sexy topic. I’m not saying that to further marginalize these poor effects. It’s just that statistics, in and of itself, barel...

The course takes an interdisciplinary approach and is suitable for applied researchers across health, social and behavioural sciences.