Friday 10th October 2025

08:30-16:30

This course will be delivered in a hybrid form, with the option of joining online or attending in person at St Luke's Campus, Exeter.

For group bookings of 5+ delegates, please contact the Administrator, Carole Miller, for details of a discounted rate at [email protected].

About the course

Please see the course webpage.

Joining instructions will follow.

Course Dates - delivered virtually over 6 half days from 12:30-16:30:

Tuesday 7th October

Thursday 9th October

Tuesday 14th October

Thursday 16th October

Tuesday 21st October

Thursday 23rd October

The University of Exeter is a leader in public health research and education.  Our flagship CPD course, led by Dr Bharat Pankhania alongside renowned guest speakers, tackles key concepts in health protection, addressing local, national and global challenges.  The importance of Communicable Disease Control expertise and collaborative working, with an emphasis on prevention being the best way forward.

The course will give participants a grounding in the core principles of health protection and is a useful building block towards achieving competency in health protection on call. The content will cover all the Faculty of Public Health competencies, including part of the syllabus for the DFPH (Diplomate exam) and will serve as a refresher and a primer for new practitioners (Consultant to Health Protection Practitioners).

Whis is the course for?

It is useful for those already working in or considering working in public health, health protection, infection control, environmental health, infections with an animal and human interface, and primary care.

Accreditation

CPD points applied for through The Royal College of Physicians.

If you wish to attend and be invoiced, please contact the CPD Team at [email protected] for information.

This course provides a broad introduction to statistical modelling for health and life science applications. The fundamental role of the statistician as a problem solver will be emphasised and the different stages of the “problem solving” cycle will be considered.

The course will equip you with the theoretical underpinning and computational skills needed for generalized linear regression modelling of health data using the R statistical software. Real-world case studies drawing on our world-class epidemiological research will be used to help you develop an appreciation of modelling strategy and to give you practical experience of interpreting model findings in the context of real health problems.

The course requires familiarity with basic statistical concepts and methods (e.g. descriptive statistics and graphs, t-tests). Some knowledge of R would be advantageous. On 8th May the course has built in a half-day preparatory session on R software to support all delegates in achieving the required level of proficiency in the R software environment.

Who is the course for?

Suitable for Academics, PhDs, industry/NHS, and for those who need to use quantitative models to analyse data to generate evidence or inform policy. This includes researchers and data analysts wanting a practical framework for modern regression modelling of data from clinical trials, or routine health data from electronic health records. 

External Accreditation

CPD points applied for through the Royal College of Physicians.