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Test (un)confoundedness by comparing an effect from an RCT-like dataset to the same estimand from an observational dataset. Includes robust estimators, inference, and transportability tools.
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**Features:**
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- IPW and AIPW (doubly robust) estimators for the marginal ATE
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- Bootstrap confidence intervals and Wald test
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- Transport modes: `none`, `rct_to_obs`, and `auto` (KS/energy shift detection)
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- Diagnostics for propensity overlap, stabilized weights, trimming, and transport ESS
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