Causal Mediation Analysis [ESP69]

Course highlights

EC points

1.4

Start date

23-08-2021

End date

27-08-2021

Course days

Monday to Friday (5 full days)

Faculty

Dr. Linda Valeri

Course fee

€ 988

Location

Online

Level

Advanced

Prerequisites

Knowledge of implementation and interpretation of linear and logistic regression is required.

Disciplines

  • Advanced Statistics

Application

Go to the ESP website

Detailed information about this course:

Description

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.

Timeline:

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.


//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.//

Objectives

  • 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

Participant profile

Anyone who wants to learn about mediation analysis and is familiar with linear and logistic regression.

Assessment

Attendance


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.

50% reduction on our fees for participating institutes of NIHES

This 50% reduction is offered to participants formally appointed at the departments or sections participating in NIHES.

University Medical Center Rotterdam/Erasmus University Rotterdam:

  • Department of Epidemiology
  • Department of Public Health
  • Department of Psychiatry, Section of Medical Psychology and Psychotherapy
  • Department of Child and Adolescent Psychiatry/Psychology
  • Department of Medical Informatics
  • Department of General Practice
  • Erasmus School of Health Policy & Management
  • Generation R

50% reduction on our fees for NIHES affiliated partners

This 50% reduction is offered to participants formally appointed at the following NIHES affiliated partners:

University Medical Center Rotterdam/Erasmus University Rotterdam, departments of:

  • Dermatology
  • General Paediatrics
  • Plastic and Reconstructive Surgery
  • Rehabilitation Medicine

UMIT, Department of Public Health, Health Services Research and Health Technology Assessment.

25% reduction on our fees for Erasmus MC employees

For participants formally appointed at all departments of Erasmus MC (except the departments mentioned above and Erasmus MC PhD candidates).

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.