Causal Mediation Analysis [ESP69]

Course highlights

EC points

1.4

Start date

17-08-2020

End date

21-08-2020

Course days

Monday to Friday (5 full days)

Faculty

Dr. Linda Valeri

Course fee

€ 988

Location

Online

Level

Advanced

Prerequisites

Familiarity with linear and logistic regression will be required to fully benefit from the course.

Disciplines

  • Advanced Statistics

Application

Go to the ESP website

Detailed information about this course:

Description

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.


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)

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).

25% reduction for all (international) PhD students
Please upload proof of enrollment as a PhD student in the application form and state the name of your tutor on the application form (remarks field).

25% reduction on our course fees (maximum 3 EC points per academic year) for all NIHES alumni
Please state that you are a NIHES alumnus/alumna and the academic year you graduated (remarks field). Please note that the reduction on fees for alumni does not apply to the Erasmus Summer Programme.