While the addage “correlation does not imply causation” is true, work in the area of causal inference has pushed understanding of what kinds of causal claims can be made, especially in the context of observational data. This workshop will provide an overview of causal inference, include directed acyclic graphs and matching. Examples will be provided using the R software package.
Introduction to Causal Inference
Files for this workshop are available in Box.
Access FilesA video of this workshop is available at Cornell’s Video on Demand site.
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