Applied Statistics for Medical Professionals (Part 2)

**Discounts are available for this course, including fully funded places for UoE/NHS Lothian staff and students**

Applied Statistics for Medical Professionals – “The Seven Deadly Statistical Sins” (Part 2)

This course builds directly on ‘Foundational Statistics for Medical Professionals’ and focuses on interpreting statistical analyses and conclusions as they commonly appear in medical publications, reports, and audits.

As with the foundational session, the emphasis is on interpretation and judgement rather than calculation. Participants will learn how to assess statistical claims critically, recognise over-confidence or misuse of methods, and understand what statistical results do—and do not—justify.

This session focuses particularly on statistical inference, common hypothesis tests, and how advanced-looking methods should be interpreted rather than feared or blindly trusted.

If this course is fully booked, please email education@edinburghCRF.ed.ac.uk to be added to the waiting list (please include your name, course name and course date). 

By the end of this session, participants should be able to:

• Explain why the distribution of data matters, and recognise the practical importance of the Normal distribution;

• Explain what a p-value represents, when it may be useful, and when it is likely to be misleading or irrelevant;

• Confidently assess comparative effectiveness (e.g. whether Drug X or Drug Y works better) using a realistic simulated example;

• Deconstruct and critically appraise the statistical conclusions of a typical medical publication;

• Understand, at a conceptual level, the purpose and limitations of some advanced statistical techniques increasingly seen in modern medical research.

Please note: the course content and examples relate mainly to medical data, but cover statistical concepts which will be broadly applicable to anyone.

The price displayed is the public sector and charity rate, for Industry rates please check ‘payment options’.   

Because this session builds on examples and concepts introduced in ‘Foundational Statistics for Medical Professionals’, participants are strongly encouraged to have attended that course, or at least to be familiar with its core ideas.