UCL Institute of Neurology
Support UsAthena SWAN silver award

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 MSc students on the following programmes: MSc Advanced Neuroimaging, MSc Brain and Mind Sciences, MSc Clinical Neurology, MSc Clinical Neuroscience, MRes Translational Neurology, MSc/MRes Neuromuscular Disease and MSc/MRes Stroke Medicine by completing  the statistics meeting request form including IoN MSc student in the subject line and contacting biostatistics@uclh.nhs.uk.

For all other statistical enquiries (IoN staff/trials) please complete a statistical request form from this site (http://www.ucl.ac.uk/jro/biostatistics/Biostatistics_support) and return it to biostatistics@uclh.nhs.uk. Your project will then be assigned to the most appropriate statistician and an appointment will be set up accordingly.

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. Medical Statistics at a Glance (Aviva Petrie and Caroline Sabin, 2005)
  2. Practical Statistics for Medical Research (Altman, 1990)
  3. Statistics at Square One (Campbell, 2002)
  4. Clinical Trials: A Practical Guide to Design, Analysis, and Reporting (Duolao Wang, Ameet Bakhai, 2005)