Predictive modelling notebook, using boosting / trees.

Missing data analyses

Notebook describing the descriptive (survival, incidence) and inferential analyses

An analysis of FEP prediction using cross-validation, boosting, and then permutation tests for statistical significance of the resulting classifier performance

Attempting to use inferential approach to find associations on first episode --> TRS. Note, no CV used and results largely focused on feature selection (including / excluding variables that cause a classic GLM to fail)