MHDSR

Live, cohort-based courses in applied biostatistics and machine learning for health research, all in R.

Methods in Health Data Science with R (MHDSR) is a live, cohort-based training pathway in applied biostatistics, machine learning, survival analysis, and evidence synthesis, taught in R with reproducible Quarto workflows.

Enrollment is open for the September–October 2026 cohort. To register, email elbadisyimad@gmail.com with your name and chosen course(s). See the full catalogue →

Programme design

The MHDSR pathway takes participants from applied biostatistics through prediction, time-to-event analysis, and evidence synthesis. BIOSTATR gives the foundations: study design, descriptive statistics, inference, regression, survival basics, and reproducible R/Quarto workflows. ML4HOR builds on it with prediction, validation, and interpretability. SURV4CR extends this to the full time-to-event workflow for clinical research. METAR closes the pathway with evidence synthesis and pooled inference across studies.

Each course can be taken independently (no prerequisite is mandatory), but the order above is recommended for participants building comprehensive mastery.

BIOSTATR → ML4HOR → SURV4CR → METAR. Browse the full catalogue, schedule, and pricing →