Estimands#
Choose one estimand for the causal question before you select an estimation method. Each class
defines its target population, contrast scale, intervention axis, and reference value.
An Interpretation names one causal reading of an identified functional and the assumptions
that reading adds.
Compare population counterfactual means against one reference arm. |
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Compare counterfactual means among units in each comparison arm. |
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Compare counterfactual means among units in the reference arm. |
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Store a normalized observed-data functional for an estimator adapter. |
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Request counterfactual outcome means by treatment level. |
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Request the observed-course outcome mean. |
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Request the natural-course risk minus a reference counterfactual risk. |
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Request the preventable fraction relative to the natural-course risk. |
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Compare counterfactual risks on the ratio scale. |
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Compare counterfactual odds for a binary outcome. |
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Request mean outcomes under declared treatment regimens. |
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Compare each declared regimen against one reference regimen. |
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Request the fold-average value of a treatment rule learned inside each training fold. |
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Request mean outcomes under modified treatment policies. |
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Compare modified treatment policies. |
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One causal reading of an identified functional, with the assumptions it adds. |
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Request means under incremental propensity-score interventions. |
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Compare incremental propensity-score interventions. |
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Project counterfactual means onto a marginal structural model. |
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Compare treatments while fixing a binary intermediate variable. |