3 Mediation Analysis
3.1 Welcome
Welcome to the short workshop on Directed Acyclic Graphs (DAGs) and mediation analysis!
Instrctors: Daniel Witte, Jie Zhang
Time duration: 75 mins
4 Course Outline
During this 75-minute course, you will learn about traditional mediation approaches before exploring the theory of causal mediation, accompanied by hands-on R coding practice. We hope this will be the beginning of your journey in mediation analysis and open the door to more interesting research studies!
Understand the fundementals of mediation analysis
What is mediation analyses?
Why and when to use mediation analyses?
Master the theoretical framework
Understand traditional mediation concepts
Learn principles of causal mediation analysis
Conduct practical analyses using R software
Perform traditional mediation and causal mediation analysis
Apply appropriate statistical methods
Interpret and communicate results
Analyze outputs from mediation analyses
Draw meaningful conclusions from results
4.1 Important things before the course
To make the most of our training course in Bangkok, please complete the pre-course tasks before you arrive. This will ensure we can start our sessions smoothly and dive right into the content!
4.2 Course outline
- Motivation
- Traditional mediation analysis
- Introduction to causal mediation analysis
- Perform causal mediation analysis using R software
- Interpret results from causal mediation analysis
4.3 Acknowledgement
This course is developed based on ‘Mediation Analysis Course’ developed by Daniel B. Ibsen, Omar Silverman, Jie Zhang from Steno Diabetes Center Aarhus in Denmark, and Nima Hejarzi and Ivan Diaz from the US, which is sponsored by the Danish Diabetes and Endocrine Academy.
The repository contains the lesson, lecture, and assignment material for the course, including the website source files and other associated course administration files. You can always go to check the website to learn more about mediation.