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How causal analysis and AI intersect - methods of causal inference
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis.
Development of causal graphs
Controlled trials
External validity
Hawthorne effect
Random imbalances
Model specification
Time varying events
Large sample sizes
Multiple potential outcomes
Potential outcomes framework
Directed acyclic graphs
Causal graphs
Online causal diagram
Machine learning
Automated causal
Synthetic control method
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