Mathematics

Medical Statistics

Module code: G1120
Level 6
15 credits in spring teaching
Teaching method: Practical, Lecture
Assessment modes: Coursework, Unseen examination

Topics include:

  • 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.

Pre-requisite

(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.