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The defining challenge for causal inference from observational data is the presence of `confounders', covariates that affect both treatment assignment and the outcome.
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Adam Glynn and Kevin Quinn · 2010
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Jennifer Hill · 2010
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Peter Austin · 2011
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Clark Glymour, Kun Zhang and Peter Spirtes · 2019
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