Date: 8th, 13th, 15th, 20th and 22nd May 2025
Location: Online via Zoom
Speakers: Course Lead: Professor William Henley– who leads medical statistics across the Medical School and is Head of the Health Statistics Group with:
Dr Adam Streeter, Volker Kraft, Dawn Lee
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.
To find out more about Applied Statistical Modelling and to register, please visit the University of Exeter website.
If you have any questions, please email the CPD team: FHLS_CPD@exeter.ac.uk
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
Who is this event intended for? Statisticians with an interest understanding dose-finding in oncology. What is the benefit of attending? Learn about the state of oncology dose finding, particularly in light of current FDA guidance.
The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The Institute of Cancer Research are seeking to appoint a Research Group Leader to join The CRUK Clinical Trials and Statistics Unit at the ICR.
The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.
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