Modern Mediation Analysis in Randomised Trials

Modern Mediation Analysis in Randomised Trials
Event on 2015-06-23 09:30:00

Modern Mediation Analysis in Randomised Trials

Instructors: Professor Sabine LandauDr Richard EmsleyDr Kimberley GoldsmithDr Cedric Ginestet

Free – staff and PhD students at The University of Manchester and Institute of Psychiatry, Psychology and Neuroscience.

£100 – external researchers.

Staff and PhD students at The University of Manchester and Institute of Psychiatry, Psychology and Neuroscience should complete the registration form on this page. 

External researchers should visit the External Researcher Registration page to register for the course.

Requirements: This workshop will assume that participants have a basic knowledge of the standard analysis of RCTs. Some familiarity with structural equation modelling would be an advantage. Participants will need to bring their own laptop computer with Stata version 12 or higher.

Refreshments: Please note that refreshments are not provided as part of the course.

Handouts: Electronic copies of lecture notes and other course materials will be provided. Please note that hard copies are not provided.

Course aim and content:
DAY 1: The morning session will give an introduction to the terminology of causal inference and mediation analysis, describing both its potential and outlining the major difficulties.  The afternoon session will concentrate on what has been termed “statistical mediation analysis”. We will introduce standard approaches for constructing inferences for mediation parameters in the single mediator model using Stata's -sem- command, and discuss assumptions made by such analyses.  We then consider structural equation modelling approaches that allow us to relax some of these assumptions.

DAY 2: The morning session will introduce the concept of longitudinal mediation analysis and demonstrate how structural equation modelling can be used to investigate respective models. The afternoon session will then extend concepts to what has been termed “causal mediation analysis”. Specifically the aim of such mediation analyses is to further relax assumptions required by methods introduced on day 1 to allow causal effect estimation in the non-linear case and to allow for treatment × mediator interactions. Methods will be demonstrated using Stata commands paramed and mediation. 

DAY 3: The morning session will continue to discuss approaches for causal mediation analyses. We will introduce approaches that can deal with measured post-randomisation confounders and hidden confounders in trials. Methods will be demonstrated in Stata using commands gformula, paramed and ivregress. The afternoon will cover more recent mediation methods extensions, e.g. to deal with missing data or measurement error, and sensitivity analysis, and will finish with a question and answer session to allow participants to present their own problems.

at 5.205 University Place
The University of Manchester
Manchester, United Kingdom

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