Casual Meditation Analysis Training: Methods & Applications Using Health Data

Starts:  Jul 12, 2021 10:00 AM (ET)
Ends:  Jul 14, 2021 5:00 PM (ET)

This three-day intensive course will cover some of the recent developments in causal mediation analysis and provide practical tools to implement these techniques and assess the mechanisms and pathways by which causal effects operate. 


Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. 



  • Linda Valeri, PhD, Mailman School of Public Health, Columbia University
  • Caleb Miles, PhD, Mailman School of Public Health, Columbia University


Prerequisites and Requirements 

There are four prerequisites/requirements to attend: 

  • Each participant must be familiar with linear and logistic regression.
  • Each participant must have experience with programming in R. 
  • Although the instructors will provide an overview of the fundamentals of causal inference (potential outcomes, directed acyclic graphs, and marginal structural models), we invite the participants to read chapters 1-7, 11, and 12 of Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC (free).
  • Each participant is required to bring a personal laptop with R/RStudio installed prior to the first day of the workshop, as all lab sessions will be done on your personal laptop. R is available for free download and installation on Mac, PC, and Linux devices.


Additional Details