Aims - This module aims to provide a continuation of the study of medical statistics, with emphasis on more advanced topics in epidemiological methods and the...

Aims - 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 undergraduate students and taught postgraduate students registered on the degree programmes offered by the Department of Statistical Science, or jointly with other departments. The academic prerequisite for such students is STAT0014.

Objectives - On successful completion of the module, a student should be able to: model survival data using parametric regression models, develop and validate a risk prediction model, analyse clustered data using a regression model, design and analyse a cross-over trial, cluster randomised trial, equivalence trial and early phase trial, understand the issues concerning interim analyses and missing data, 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.

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. In addition, there will be weekly practical sessions on many of the topics listed above.

Key texts - Available from ReadingLists@UCL.

Aims - This module aims to provide an introduction to the fields of clinical trials and epidemiology, with emphasis on the statistical ideas and methodology...

This is an advanced Spanish language module designed for finalists, consolidating level C1 and exploring level C2 of the Common European Framework of Reference...