Statistics for Nutrition Research Course


4 March 2015
Venue: University of Westminster, Cavendish Campus, London, W1W 6UW, UK

This one day Nutrition Society course will cover experimental design, sample size and power calculations; and more advanced techniques such as modelling outcomes, ANOVA model selection and linear regression, including mixed models.

Aims and objectives:
This course is aimed at those who have a basic knowledge of statistical concepts but who are looking to improve and more effectively apply their knowledge to research. The objective is to cover important topics in statistics for nutrition research and aims to enable delegates to gain a better understanding of the following:

  • Definition and use of statistical concepts
  • Differences between accuracy & precision
  • Basic concepts of modelling outcomes
  • The linear model when there are multiple explanatory variables (ANOVA, multiple comparisons and regression analysis)
  • Use of statistical software package SPSS
  • Sample size and power calculations including handling missing data
  • Planning a study & experiment
  • Effectively presenting and sharing data using reported methods
  • Clearly defining variables
  • Making informed decisions in the design and analysis of research

The programme can be viewed here and PDF downloadable version is available.  Pre-course reading will be emailed to you two weeks before the workshop.

Continuing Professional Development (CPD) credits

AfN endorsement for Statistics Workshop 

This event has received Association for Nutrition (AfN) CPD Endorsement.

The course will be presented by Dr Graham Horgan, Principal Consultant for Human Health & Nutrition, Biomathematics and Statistics Scotland (BioSS), Rowett Institute of Nutrition and Health at the University of Aberdeen. BioSS is an organisation which has carried out research, consultancy and training in mathematics and statistics applied to food and nutrition for 20 years.

Who should attend?
PhD students, postdocs and researchers with prior knowledge of statistics and research methods e.g. at undergraduate level. This course will be beneficial to those seeking to improve their knowledge and understanding of statistics as applied to food and nutrition research. Delegates are required to have completed a statistics module as part of their degree course.

Why is this course important?
Statistical analysis of data is an important part of nutritional research. If it is not done appropriately, there is a risk that information in the data is lost, or that conclusions are misleading. Course speaker, Dr Graham Horgan, explains the aspects of statistics where care is needed in this free to access paper, published in the British Journal of Nutrition.

Previous delegate comments
"An excellent refresher to my stats knowledge"
"Excellent programme and teaching style"
"Good use of data and practical session"


If you have any queries or for further information, please contact Hajnal Zdravics, Training & Education Manager.

The Nutrition Society reserves the right to cancel the workshop.