Program Overview

Medical Statistics 2 (STAT0015)

Key Information

The Faculty of Mathematical and Physical Sciences offers this module, with the Statistical Science department being responsible for teaching. The credit value of this module is 15.

• Faculty: Faculty of Mathematical and Physical Sciences
• Teaching department: Statistical Science
• Credit value: 15

Restrictions

This module is only available to students registered on the following degree programmes:

• Affiliate Statistics
• BSc Data Science
• BSc(Econ) Economics and Statistics
• BSc/MSci Mathematics and Statistical Science
• BSc Statistics
• BSc Statistics and Management for Business
• BSc Statistics, Economics and Finance
• BSc Statistics, Economics and a Language
• MSc Health Economics and Decision Science
• MSc Medical Statistics and Data Science
• MSc Statistics
• MSci Statistical Science (International Programme)

Alternative Credit Options

There are no alternative credit options available for this module.

Description

This module aims to provide a continuation of the study of medical statistics, with emphasis on more advanced topics in epidemiological methods and the design and analysis of clinical trials. It is primarily intended for third and fourth year undergraduates and taught postgraduates registered on the degree programmes offered by the Department of Statistical Science. The academic prerequisite for all these students, in addition to their compulsory modules, is STAT0014 or STAT0039.

Intended Learning Outcomes

• Be able to model survival data using parametric regression models
• Be able to develop and validate a risk prediction model
• Be able to analyse clustered data using a regression model
• Be able to design and analyse a cross-over trial, cluster randomised trial, equivalence trial and early phase trial
• Be able to understand the issues concerning interim analyses and missing data
• Be able to carry out a meta-analysis

Applications

This module has applications in both medicine and epidemiology, including the design and analysis of medical research studies, such as randomised controlled trials.

Indicative Content

• Diagnostic testing and risk prediction models
• Modelling survival data using parametric models
• Introduction to clustered data including cluster randomised trials, repeated measures and GEEs
• Hierarchical regression models for continuous, binary and survival outcomes
• Interim analyses in trials
• Equivalence trials
• Cross-over trials
• Early phase trials
• Systematic reviews and meta-analysis
• Missing data

Key Texts

Available from ReadingLists@UCL.

Module Deliveries for 2026/27 Academic Year

Intended Teaching Term: Term 2

Undergraduate (FHEQ Level 6)

Teaching and Assessment

• Mode of study: In person
• Methods of assessment:
  • 80% Exam
  • 20% Coursework
• Mark scheme: Numeric Marks

Other Information

• Number of students on module in previous year: 8
• Module leader: Professor Gareth Ambler

Postgraduate (FHEQ Level 7)

Teaching and Assessment

• Mode of study: In person
• Methods of assessment:
  • 80% Exam
  • 20% Coursework
• Mark scheme: Numeric Marks

Other Information

• Number of students on module in previous year: 9
• Module leader: Professor Gareth Ambler

Undergraduate (FHEQ Level 7)

Teaching and Assessment

• Mode of study: In person
• Methods of assessment:
  • 80% Exam
  • 20% Coursework
• Mark scheme: Numeric Marks

Other Information

• Number of students on module in previous year: 1
• Module leader: Professor Gareth Ambler

Last Updated

This module description was last updated on 10th March 2026.