Module code: G1120
15 credits in spring semester
Teaching method: Practical, Lecture
Assessment modes: Coursework, Unseen examination
- logistic regression, fitting and interpretation
- survival times (Kaplan-Meier estimate, log-rank test, Cox proportional hazard model)
- designing medical research
- clinical trials (phases I-IV, randomised double-blind controlled trial, ethical issues, sample size, early stopping)
- observational studies (prospective/retrospective, longitudinal/cross-sectional)
- analysis of categorical data (relative risk, odds ratio, McNemar's test, meta-analysis (Mantel-Haenszel method))
- diagnostic tests (sensitivity and specificity; receiver operating characteristic)
- standardised mortality rates.
(G1107) Linear Statistical Models [Autumn Term, UG Level 6]
Module learning outcomes
- Describe various types of study design and understand their relative merits.
- Apply various multivariable models to clinical data and report conclusions clearly.
- Carry out a range of other statistical methods of particular relevance in clinical applications.
- Use statistical software to help carry out model fitting and analyses.