UCL Institute of Health Informatics


Statistical Methods for Health Data Analytics

The module covers the essential statistical methods that are built on in the health data analytics programme. It assumes a familiarity with probability, the representation and presentation of different forms of data, sampling and confidence intervals, and confidence with mathematical concepts, and then covers concepts such as: simple linear and logistic regression, multiple regression, time-to-event analysis.

Module code


UCL credits


Course Length

9 Weeks

Face to Face Dates

11th to 13th March 2020

Assessment Dates

20th april 2020

Module organisers

Dr Henry Potts Please direct queries to courses-IHI@ucl.ac.uk


Key topics covered by this module include:

  • Sampling error
  • Statistical tests, such as:
  • Linear regression
  • Logistic regression
  • Time-to-event analysis
  • Multiple regression 
  • Core ideas of statistical modelling
  • Use of Stata, a statistical software package

Teaching and learning methods

Blended learning: web-based distance learning in the UCL Virtual Learning Environment plus a 3-day face-to-face teaching session.


Summative assessment: Written report worth 100% of the overall module mark.

Selected Reading List

Kirkwood BR, Sterne JAC. Essential Medical Statistics. Wiley-Blackwell, 2nd ed., 2003.

Bulmer MG. Principles of Statistics. Dover Publications Inc., 2003. (Originally published 1965).

Bowers D. Medical Statistics from Scratch. John Wiley & Sons, 2nd ed., 2008.

Altman D. Practical Statistics for Medical Research. Chapman & Hall, 1990.