Statistical Modeling

Longitudinal, clustered and time-to-event data handled with the right model — and explained in language your committee or reviewers will follow.

• • Mixed-effects models (LMM, GLMM) for longitudinal and clustered data
• • Survival analysis: Kaplan-Meier, Cox regression, competing risks, parametric models
• • Generalized Estimating Equations (GEE) for repeated measures
• • Machine learning for research: random forests, gradient boosting, SVM with interpretability