Short courses

As part of the Bristol Medical School Short Course Programme, the MRC Integrative Epidemiology Unit offers a number of short courses. Members of the MRC IEU have free access to the Short Course Programme and can gain teaching experience by contributing to the delivery of these courses.

Analysis of repeated measures

The course gives an introduction to methods for analysing longitudinal/repeated continuous data with a focus on methods for analysing trajectories over time.

Causal inference in epidemiology: concepts and methods

The course will define causation in biomedical research, describe methods to make causal inference in epidemiology and health services research.

Epigenetic epidemiology

The course provides an overview of epidemiological principles that are relevant to epigenetic studies including the design, execution and interpretation of population-based epigenetic studies.

Genetic epidemiology

The course provides a grounding in a wide range of genetic epidemiological methods for complex traits.

Introduction to data visualisation and web applications using R

The course will introduce the key aspects of data visualisation using R with applications of R tools to illustrate the generation of fully reproducible documents.

Introduction to R

Introducing the statistical software package R, focusing on providing the starting point needed to exploit R’s potential for statistical analysis.

Introduction to rates and survival analysis

The course gives  a grounding in methods that are most commonly used to analyse rates and survival-time data.

Mendelian randomization

The course introduces the conduct, assumptions, strengths and limitations of Mendelian randomization, including the use of methods for sensitivity analyses that explore likely violation of Mendelian randomization assumptions. 

Multiple imputation for missing data

The course provides a theoretical and practical introduction to multiple imputation methods to deal with missing data in simple (linear and logistic regression) situations. The advanced course extends to deal with complex analyses including data missing not at random and multilevel data.

Statistical methods for mediation analysis

The course aims to provide an understanding of the statistical principles behind, and the practical application of, mediation analyses in epidemiology.

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