onco-stats
| Pre-Course | Day 1 | Day 2 | Day 3 | Day 4 | Resources | Feedback Form |
=======
Programme and Course Materials
Statistics for Oncology - A Course for Scottish Trainees
Course materials are available below, organised by day and session. Slides and recordings will be added during and after the course. Recordings only available via NHS Scotland MS Teams channel.
Questions and Answers about the course: Q&A Discussion Board on Github
Please feedback so that we can improve the course: Feedback Discussion Board on Github
🎥 Recording: Session Recordings will be available in the NES ST3 Oncology Teaching - 2025 - 2026 Teams Channel
Pre-Course Materials
📚 Reading List – View (no prior reading expected)
📄 Course Handbook – Link
💻 R Setup Guide - Installation instructions (for those attending optional introduction to applied analysis session on Wednesday)
Day 1 – Monday 5th January
Introduction and Overview
9:30am - 10am | Arrival and Registration
10:00am - 10:30am | Introduction and course overview
Types of Data
10:30–11:00am | Peter Hall
📊 Slides: Download
📖 Tutorial: Link
Statistical Sampling
11:00am–12:30pm | Giovanni Tramonti
📊 Slides: Download
Principles of Statistical Inference
1:30–2:30pm | Giovanni Tramonti
📊 Slides: Download
📖 Handbook Section: Link
Tests to Compare Groups
2:30–3:30pm | Giovanni Tramonti
📊 Slides: Download
Day 2 – Tuesday 6th January
📝Self Study: Revision Questions (from Day 1)
Association and Regression
9:30–11:00am | Piyumanga Karunaratne
📊 Slides with Quiz: Download
📝 Quiz with Answers Link
💻 Practice R Scripts: Correlation | Linear Regression | Logistic_regression
Survival Analysis
11:30am–12:30pm | Peter Hall
📊 Slides: Download
📖 Tutorial: Kaplan-Meier and Cox Regression
Screening Tests
1:30–2:30pm | Piyumanga Karunaratne
📊 Slides with Quiz: Download
📝 Quiz with Answers Link
📖 Handbook Section: Link
Clinical Trial Design
3:00–4:00pm | Rob Jones
📊 Slides: Download
Day 3 – Wednesday 7th January
Supported Self-Study
9:00–10:00am
📝 Revision Questions from Day 2: Link
💻 R Setup Guide - Installation instructions
Epidemiological Studies
10:00–10:45am | Piyumanga Karunaratne
📊 Slides: Download
📝 Questions and Answers Link
Exam Question Workshop 1
11:00am–12:30pm | Anna Cowel
📄 Workshop Questions: Download
📄 Solutions: pending
Data Management for Research
1:30–2:30pm | Mahéva Vallet
📊 Slides: Download
Introduction to R (Optional)
2:30–4:00pm | Giovanni Tramonti, Piyumanga Karunaratne, Mahéva Vallet, Peter Hall
📊 Slides: Download
💻 Workbook: Link
💻 Workbook with solutions: Link
Day 4 – Thursday 8th January
Guided Self-Study
9:00–10:00am
📄 Revision Questions from Day 3: Link
Exam Question Workshop 2
10:00–11:15am | Anna Cowel
📄 Workshop Questions: TBC
📄 Solutions: TBC
Health Economics
11:30am–12:30pm | Peter Hall
📊 Slides: Download
🎥 Legacy Recordings:
- Part 1 - Healthcare Expenditure and Health (Setting the Scene)
- Part 2 - Health Economics (What’s it all about?)
- Part 3 - Reimbursement Decision Making (Core concepts)
- Part 4 - Decision making in the NHS (Health Economics in action)
Critical Appraisal & Key Trials
1:30–3:30pm | Stefan Symeonides
Additional Resources
Downloadable Datasets
📦 Course datasets - useful for practicing analysis:
Individual datasets:
GitHub Repository
All materials are version-controlled and available at:
https://github.com/Edinburgh-Cancer-Informatics/onco-stats)
You can:
- Download all materials at once
- Report errors or suggest improvements by creating an ‘issue’
- Access updated versions as they become available
- Fork the repository for your own use - any improvements welcome via a pull request
*Materials will be updated during the course. *