Workshop Schedule

R for HTA (Basics) — 3-Day Programme

Day 1 — Why R, Getting Comfortable, and Decision Trees

Time Session Description
09:00–09:30 Inauguration & Introductions Welcome, participant introductions, workshop objectives
09:30–10:30 Session 1: The Case for R in HTA Why R? Reproducibility, transparency, scalability. Side-by-side Excel vs R comparison
10:30–10:45 Tea Break
10:45–12:00 Session 2: R Orientation Navigating RStudio, reading code, running .qmd files, installing packages
12:00–13:00 Lunch
13:00–14:30 Session 3: Diagnostic Decision Tree GDM screening — universal vs risk-based. Concept → annotated code → exercise
14:30–14:45 Tea Break
14:45–16:15 Session 4: Therapeutic Decision Tree DES vs BMS for CAD. Concept → annotated code → exercise
16:15–16:45 Day 1 Wrap-Up Q&A, recap, preview of Day 2

Day 2 — Markov Model, PSA, and Practical Tools

Time Session Description
09:00–09:15 Day 1 Recap Quick review, address questions from Day 1
09:15–11:00 Session 5: 4-State Markov Model CKD progression — concepts, transition matrices, cycle correction, discounting. Annotated code walkthrough and exercise
11:00–11:15 Tea Break
11:15–12:30 Session 6: Probabilistic Sensitivity Analysis Why PSA matters, parameter distributions, Monte Carlo simulation, CE plane, CEAC — applied to the CKD Markov model
12:30–13:30 Lunch
13:30–15:00 Session 6 (contd.): PSA Hands-on Running PSA, interpreting outputs, visualising uncertainty
15:00–15:15 Tea Break
15:15–16:15 Session 7: Using Generative AI for HTA Coding Practical session — prompting for HTA code, troubleshooting, realistic expectations
16:15–16:45 Day 2 Wrap-Up Q&A, recap, preview of Day 3

Day 3 — Partitioned Survival, Shiny Apps, and Next Steps

Time Session Description
09:00–09:15 Day 2 Recap Quick review, address questions from Day 2
09:15–11:00 Session 8: Partitioned Survival Model Trastuzumab for HER2+ breast cancer — survival curves, extrapolation, AUC partitioning. Annotated code walkthrough and exercise
11:00–11:15 Tea Break
11:15–12:30 Session 9: PSA for the Partitioned Survival Model Applying PSA to the breast cancer model, structural uncertainty
12:30–13:30 Lunch
13:30–14:30 Session 10: Interactive Shiny App Templates Exploring the four Shiny apps, understanding how they work, how to adapt them
14:30–14:45 Tea Break
14:45–15:45 Session 11: Wrap-Up and Next Steps Resources for continued learning, the DARTH group, R-HTA consortium, heemod ecosystem, how to use the workshop GitHub repo going forward
15:45–16:30 Valedictory & Feedback Certificates, feedback forms, closing