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
CHME0019
UCL credits
15
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
Content
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.
Assessment
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.