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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 (including the MASS programmes). It also serves as an optional module for students from the MSc Health Economics and Decision Science degree. The academic prerequisite for all these students (in addition to their compulsory modules) is STAT0014听辞谤 STAT0039.
Intended Learning Outcomes
- be able to model survival data using parametric regression models;
- be able to听develop and validate a risk prediction model;
- be able to analyse clustered data using a regression model;
- be able to听design and analyse a cross-over trial, cluster randomised trial, equivalence trial and early phase trial;
- be able to听understand the issues concerning interim analyses and missing data;
- be able to听carry out a meta-analysis.
Applications - This module has applications in both medicine and epidemiology. Important areas include the design and analysis of medical research studies, including randomised controlled trials.
Indicative Content - Modelling survival data using parametric models; Risk prediction 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 .
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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