UCL Institute of Neurology


ION Statistical Support Service

1. Aim of service

The aim of the service is to provide ION staff and students with support on the statistical aspects of a research project. The following areas are covered:

  • Study design and planning of statistical analysis
  • Sample size calculations
  • Descriptive and inferential statistics
  • Presentation and interpretation of statistical analysis results

2. Description of service

Support is offered for IoN MSc students on the following programmes: MSc/MRes Advanced Neuroimaging, MSc Brain and Mind Sciences, MSc Clinical Neurology, MSc Clinical Neuroscience, MRes Translational Neurology, MSc/MRes Neuromuscular Disease, MSc Dementia (Neuroscience) and MSc/MRes Stroke Medicine by completing the appointment forms. 

You may book only 1 appointment per calendar month. Multiple-booking will result in cancellation of all appointments.

MPhil/PhD/MD and IoN staff please complete the request form

MSc/MRes students please complete the request form

Once you have completed the form you will need to book an appointment using the online booking site. You can only book a slot in the category which you fit (so only MSc students can book an MSc appointment slot and so on).

3. Joint UCLH/UCL/RFH Biomedical Research Unit on-line course

Students at the UCL Institute of Neurology are encouraged to complete an on-line basic Statistics for Research course offered by the Joint UCLH/UCL/RFH Biomedical Research Unit (see link below). The core part of this course comprises the following modules:

  1. Basic study design
  2. Design of observational studies
  3. Estimation and hypothesis testing (part 1)
  4. Estimation and hypothesis testing (part 2)
  5. Analysis of continuous data
  6. More analysis of continuous data
  7. Analysis of categorical data
  8. More analysis of categorical data
  9. Sample size calculation

The aim of these lectures is to provide an introduction to quantitative methods for health researchers and postgraduate students, and to provide a refresher or revision course for those researchers who have previously attended a module or short course.

4. Some suggested reading

  1. An introduction to medical statistics by Martin Bland (Oxford University Press, 2006)
  2. Practical Statistics for Medical Research (Altman, 1990)
  3. Essential Medical Statistics by Betty Krickwood and Jonathan Sterne (Blackwell Science 2003)
  4. Clinical Trials: A Practical Guide to Design, Analysis, and Reporting (Duolao Wang, Ameet Bakhai, 2005)
  5. Introduction to Epidemiology by IIona Carneiro and Natasha Howard (open university Press, 2011)