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What are the two types of data for causal inference?
by Wooden (3,536 points) | 14 views

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Data can be from a controlled, randomized experiment or from an observational study. In the former, X is randomly assigned to subjects. In the latter, it is not randomly assigned.

In randomized experiments, causal inference is straightforward. In observational (non-randomized) studies, the problem is much harder and requires stronger assumptions and also requires subject matter knowledge. Statistics and Machine Learning cannot solve causal problems without background knowledge.
by Wooden (3,536 points)

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