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How to create confounders with regression: a lesson from causal inference

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Regression is a tool that can be used to address causal questions in an observational study, though no one said it would be easy. While this article won’t close the vexing gap between correlation and causation, it will offer specific advice when you’re after a causal truth – keep an eye out for variables called “colliders,” and keep them out…
Original Post: How to create confounders with regression: a lesson from causal inference

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