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Causal Inference

Why a comparison between the treated and the untreated can carry the wrong sign, what randomisation actually buys, and the rule that says which variables to adjust for - including the ones that make the answer worse.

Intermediate320 XP~1 h90% to advance

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  1. Confounding and the Reversal

    25 min · 100 XP

    A treatment that helps by the same margin in every subgroup while appearing to harm overall, the mechanism that produces it, and the standardisation that recovers the right answer.

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  2. Randomisation and What It Buys

    25 min · 100 XP

    Why assigning treatment by a coin removes confounding by construction rather than by measurement, what it does not fix, and the measured difference between letting doctors choose and letting chance choose.

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  3. Graphs, Colliders and What to Adjust For

    30 min · 120 XP

    Drawing the assumptions as a graph so the rule for which variables to control becomes readable, the case where controlling for a variable manufactures an association from nothing, and the adjustment that recovers a known effect exactly.

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