Erasmus Summer Programme Courses
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Causal Mediation Analysis [ESP69]
17 August 2020
21 August 2020
Monday to Friday (5 full days)
From 8:45 till 16:00 CEST
Dr. Linda Valeri
Familiarity with linear and logistic regression will be required to fully benefit from the course.
- Advanced Statistics
Online, download instructions will be sent before the start of the course, by e-mail.
VanderWeele, T.J. (2015). Explanation in Causal Inference: Methods for Mediation and Interaction.
New York: Oxford University Press. ISBN 9780199325870.
Detailed information about this course:
Faculty: Linda Valeri, PhD
The course will cover some of the recent developments in causal mediation analysis and provide practical tools to implement these techniques. Mediation analysis concerns assessing the mechanisms and pathways by which causal effects operate. The course will cover the relationship between traditional methods for mediation in epidemiology and the social sciences and new methods in causal inference. For dichotomous, continuous, and time-to-event outcomes, discussion will be given as to when the standard approaches to mediation analysis are valid. Using ideas from causal inference and natural direct and indirect effects, alternative mediation analysis techniques will be described when the standard approaches will not work. The no-confounding assumptions needed for these techniques will be described.
SAS, SPSS and Stata macros to implement these techniques will be covered and distributed to course participants. The use and implementation of sensitivity analysis techniques to assess the how sensitive conclusions are to violations of assumptions will be covered. Discussion will be given to how such mediation analysis approaches can be extended to settings in which data come from a case-control study design. The methods will be illustrated by various applications.
The course will employ a combination of lecture, discussion, and software demonstration. Powerpoint slides will be used to present material in lecture form. Extensive printed notes will be available for students. A wide variety of examples from epidemiology and the social sciences will be used to illustrate the techniques and approaches. Ample time will be given for discussion and questions. A variety of software packages will be discussed. Students will have worked exercises that they can complete on their own.
//Please note that the course information is subject to change and will be updated from time to time. We will do our utmost best to ensure the accuracy and reliability of the information on this website.//
- Understand when traditional methods for mediation fail
- Learn the concepts about mediation from causal inference
- Learn methods and sensitivity analysis techniques for mediation
- Develop facility with use of software for mediation
Anyone who wants to learn about mediation analysis and is familiar with linear and logistic regression.