Building & Using Directed Acyclic Graphs (DAGs) to Inform Causal Analysis in
Social Work Research
Thursday, February 16, 2023 (Hybrid – Rm 2E06)
12:15 – 1:45 PM
Lunch Time Research Seminar "Building & Using Directed Acyclic Graphs to Inform Causal Analysis in Social Work Research"
Presenters: Nikita Aggarwal, Sarah Clem, Yali Deng, Tural Mammadli, Roderick Rose, Everett Smith, Jr. Learning objectives: A directed acyclic graph (DAG) is a tool for causal analysis that enables researchers to use subject-area expertise to design and make decisions needed to carry out causal research in non-randomized studies.
In this LTRS attendees will: 1. Learn how to build a DAG from subject-area expertise. 2. Learn a structured approach for using the DAG to identify the confounders that must be controlled. 3. Learn how the DAG can inform adjustment strategies, such as propensity score analysis or instrumental variable estimation.
Questions: Contact Trisha Brown at email@example.com