Building and Using DAGs for Causal Inference
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... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► / sassoftware Twitter ► / sassoftware LinkedIn ► / sas Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss
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