The course will cover a range of more advanced statistical techniques used in healthcare. In particular:
- Survival analysis.
- Generalised linear models.
- Methods for handling missing data with a focus on multiple imputation.
- Causal methods such as directed acyclic graphs and propensity scores.
- Bootstrapping and related methods.
The course assumes familiarity with descriptive statistics, linear and logistic regression.
Module Code
CHME0029
UCL Credits
15
Module Organisers
Dr Henry Potts & Dr Michalis Katsoulis. Please direct queries to courses-IHI@ucl.ac.uk
Course Length
9 Weeks
Course Dates
12:00-17:00
04 May – 02 July with
SYNC DAYS
02, 03, 04 June
The assignment is due on 05 July, 5pm.
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 (depending upon social distancing regulations)
Assessment
Summative assessment: Written report worth 100% of the overall module mark.