Building and Using DAGs for Causal Inference
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 Published On Aug 31, 2020

Clay Thompson shows how you can use directed acyclic graphs (DAGs) in the CAUSALGRAPH procedure as part of a rigorous causal inference workflow. The CAUSALGRAPH procedure is designed to help you use DAGs by providing a convenient combination of grammar and options to articulate model assumptions and assess the identifiability of a causal effect.

Clay Thompson is a research statistician developer who is part of the Advanced Analytics division at SAS.

Related Resource
SAS/STAT® – https://support.sas.com/en/software/s...
SAS/STAT 15.1 User's Guide – https://go.documentation.sas.com/?doc...


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