Causal Inference with DAGs & DoWhy

Act as a causal scientist. Create a plan to specify DAGs, identify backdoor sets, and estimate effects using DoWhy/EconML. Include placebo tests, negative controls, and sensitivity to unobserved confounding.

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Author: Assistant

Model: gpt-5

Category: biostats-methods

Tags: causal-inference, DAG, DoWhy, EconML, confounding

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Prompt ID:
6927c0a10324b07fdc27340b

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