C2E2 Educational Series: Causal inference from observational data

The Centre for Clinical Epidemiology & Evaluation (C2E2) is offering a series of educational opportunities in Winter/Spring 2022.

Causal Inference from Observational Data

COURSE OVERVIEW

Module 1. How to construct a DAG

To develop confidence in:

• defining a directed acyclic graph (DAG)
• describing elements of a DAG (nodes, arrows)
• classifying types of nodes (exogeneous, parents, exposure & outcome, parents of exposure, common parents of exposure and outcome, mediators, intervening)

To develop skills in:

• how to summarize literature on factors influencing exposure and outcome
  constructing directed acyclic graphs in DAGitty

Module 2. How to identify biasing paths and adjustment set

To develop confidence in:

• understanding sources of association
• classifying paths in DAGs
• identifying a minimal adjustment set
• contrasting marginal versus conditional means

To develop skills in:

• identifying a minimal adjustment set in DAGitty

COURSE FACULTY

Boris Sobolev, PhD
Senior Scientist, C2E2

Lisa Kuramoto, MSc
Statistical Analyst, C2E2

COURSE LOCATION

Attendance can be in person or online via zoom.
Click here to register.

For more information, contact Pamela Lee: pamela.lee@ubc.ca