Causal Mediation Analysis [ESP69]
Monday to Friday (5 full days)
Dr. Linda Valeri
Knowledge of implementation and interpretation of linear and logistic regression is required.
- Advanced Statistics
Detailed information about this course:
NOTE: THIS COURSE IS ONLINE, COURSE TIMETABLE MAY DEVIATE FROM STANDARD COURSE TIMES
Faculty: Linda Valeri, PhD
The course covers 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 covers 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, we discuss when the standard approaches to mediation analysis are valid. Using ideas from causal inference and natural direct and indirect effects, alternative mediation analysis techniques are described when the standard approaches do not work. The no-confounding assumptions needed for these techniques are described.
SAS, R and Stata macros to implement these techniques are 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 are 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 are used to present material in lecture form. Extensive printed notes are 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 is 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.
Timetable indication based on 2021 programme: (timetable to be confirmed, please note that this is a rough outline and will be subject to change)
14.30 - 16.30 hrs Live Lectures (attendance mandatory)
17.00 - 20.00 hrs Live Lectures (will be recorded*)
*will be published on Canvas after 20.00 hrs, and need to be viewed before the next Live Lecture.
- 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.
Reduction on fees
PLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 EC points)
No fees are charged for participation of Erasmus MC PhD candidates
Please note that in case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD students without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD student.