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Courses

Full catalogue of MHDSR courses, with the next cohort’s schedule and pricing.

Four independent, cohort-based courses, self-contained but designed to build on each other into a complete methods pathway. No prerequisite is mandatory, though taking them in order is recommended.

Next cohort

Enrollment is open. Registration is per course; participants may register for a single course or for all four.

Course Focus Dates
BIOSTATR Applied Biostatistics with R 07/09 – 20/09/2026
ML4HOR Machine Learning for Health Outcomes with R 21/09 – 04/10/2026
SURV4CR Survival Analysis for Clinical Research with R 05/10 – 18/10/2026
METAR Conducting Meta-Analysis with R 19/10 – 01/11/2026

Duration 2 weeks
8 sessions · 16 contact hours

Schedule Mon / Wed / Fri · 18h00–20h00
Sunday · 10h00–12h00
Morocco time

Price 150€ (1500 MAD)
per course

Language Teaching in French
English statistical and technical terms

To register or ask a question, write to elbadisyimad@gmail.com, or download the cohort announcement (PDF) for full details.

Catalogue

BIOSTATR – Applied Biostatistics with R

Full analytical workflow for health research: study questions, data types, descriptive statistics, visualization, inference, regression, survival analysis, diagnostic accuracy, missing data, causal thinking, and reproducible reporting with Quarto. No statistics background required.

Full training sheet →

ML4HOR – Machine Learning for Health Outcomes with R

Complete supervised learning workflow, plus clustering for patient phenotyping and subgroup discovery. Emphasis on validation, leakage prevention, calibration, interpretability, and clinical relevance.

Full training sheet →

SURV4CR – Survival Analysis for Clinical Research with R

Full time-to-event workflow: censoring, Kaplan-Meier, log-rank tests, Cox regression, proportional hazards diagnostics, competing risks, RMST, survival machine learning, and temporal phenotyping.

Full training sheet →

METAR – Conducting Meta-Analysis with R

Complete evidence-synthesis workflow: review question, extraction table, effect sizes, fixed- and random-effects models, heterogeneity, forest plots, moderators, publication bias, and certainty of evidence.

Full training sheet →

FAQ

Can I take just one course? Yes, each course is self-contained and registered/paid separately.

Do I need to know R already? No, not for BIOSTATR. The other courses recommend it as preparation but don’t require it.

What language is it taught in? French, with English for statistical and technical terms.

How do I register? Email elbadisyimad@gmail.com with your name and chosen course(s).

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