RADIANCE - Casual Mediation Analysis

Date:

27/11/2024 - 28/11/2024

Organised by:

University College London

Presenter:

Professor Paola Zaninotto

Level:

Advanced (specialised prior knowledge)

Contact:

Olivia Evans - olivia.evans@ucl.ac.uk
Professor Paola Zaninotto - p.zaninotto@ucl.ac.uk

video conference logo

Venue: Online

Description:

 

 

 

Course description 

This course is for anyone wishing to have an overview of main concepts of mediation analysis and to appreciate the difficulties in dealing with multiple mediators. Various approaches will be presented with an emphasis on comparing standard approaches with those from the causal inference framework. The course consists of two lectures each followed by a computer practical exercise.

During the computer practical sessions a data set and a set of questions will be given to analyse using a statistical software (Stata or R), under the guidance of tutors.

 

Learning objectives

-To understand when is appropriate to use mediation analysis

-Learn the key concepts of mediation analysis

-Learn to perform a mediation analysis using a real dataset

-Compare alternative approaches to deal with multiple mediators

 

Course Structure

There will be 2 on-line live lectures and 2 on-line live practical sessions either in Stata or R.

 

Timetable

DateTime
27 and 28/11/20249:30-13:00

 

Pre-requisite

Participants should attend “Estimating Causal effects” or have knowledge of Causal inference.

Ahead of the course Participants should watch the RADIANCE appetiser called “Causal questions”.

Recommended readings

-Chapter 1 of Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC, available here: https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2022/11/hernanrobins_WhatIf_13nov22.pdf

-VanderWeele, T.J. (2009). Mediation and mechanism. European Journal of Epidemiology, 24:217-224.

-VanderWeele, T.J. (2011). Controlled direct and mediated effects: definition, identification and bounds. Scandinavian Journal of Statistics,. 38,:P3, 551-563

– Zugna, D., Popovic, M., Fasanelli, F. et al. Applied causal inference methods for sequential mediators. BMC Med Res Methodol 22, 301 (2022). https://doi.org/10.1186/s12874-022-01764-w

Cost:

£30 for PhD students and £60 for others

Website and registration:

Register for this course

Region:

International

Keywords:

Frameworks for Research and Research Designs, Explanatory Research and Causal analysis


Related publications and presentations from our eprints archive:

Frameworks for Research and Research Designs
Explanatory Research and Causal analysis

Back to the training database