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Reading inverse-probability weights

The questions ask you to form weights and to say what their distribution reveals about whether a comparison is supported. Forming a weight comes back readily; reading a weight of 400 as a limit of the evidence rather than a computational annoyance is what needs unlearning.

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What this covers

  • Compute and diagnose a weighted estimate

    Given estimated propensity scores, the learner can form inverse-probability weights, compute the weighted estimate, and diagnose what extreme weights indicate about the comparison.

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