Casual Mediation Analysis Training

The Causal Mediation Analysis Training is a three-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of concepts and data analysis methods used to investigate mediating mechanisms.

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. Led by an expert in causal mediation techniques at Columbia University, this course will integrate lectures and discussion with hands-on computer lab sessions using R. The course will cover the relationship between traditional methods for mediation in environmental health, epidemiology, and the social sciences and new methods in causal inference using a wide variety of examples to illustrate the techniques and approaches.

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

Additional Information:

• Prerequisites and Requirements: There are four requirements to attend this training:
  1. Each participant must be familiar with linear and logistic regression.
  2. Each participant must have experience with programming in R.
  3. Although the instructor will provide a brief overview of the fundamentals of causal inference (potential outcomes and directed acyclic graphs), 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).
     • Note: about a month prior to the training, participants will be provided material to review fundamental topics necessary to understand causal mediation and causal inference, including readings and a practice exercise. Participants are encouraged to try the exercise on their own and contact the instructor if they have any questions about introductory material.
  4. Each participant is required to have a personal laptop/computer and a free, basic Posit Cloud (formerly RStudio Cloud) account. Lab sessions will use Posit Cloud (formerly RStudio Cloud)
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• Email us: Columbia.CMA@gmail.com
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• Capacity is limited. Paid registration is required to attend.