Full course description
Level: Beginner
Beginner courses require no previous knowledge or training and focus on introducing core concepts and skills within the topic area.
This course is suitable for participants of all statistical backgrounds
Track: Non-Analyst and Analyst
Courses targeted to analysts focus on learning new approaches for managing and analyzing data in statistical software. Courses targeted to non-analysts are more conceptual in nature and do not involve in-depth programming.
Audience: This course will be most valuable to those new to causal diagrams and to those needing a refresher on the rules for creating and using DAGs.
Overview: Causal diagrams are a powerful tool for visually encoding and communicating our assumptions about how risk factors, exposures, treatments, and health outcomes are related and identifying which variables to adjust for a given analysis. This mini-course provides a practical foundation in the basics of causal diagrams and explains the rigorous rules for using these diagrams to determine how to minimize bias in statistical analyses. The ideas will be applied to concerns about confounding, selection bias, and mediation.
Time commitment: The course consists of 1-2 hours of recorded lectures and a set of practice exercises designed for learners wanting to build their confidence in using these diagrams.
Certificate: Upon completion of all videos and an online assessment, participants will be awarded a certificate.