Active inference adapts label collection via ML uncertainty to deliver valid statistical inference with substantially fewer samples than standard non-adaptive methods across any data distribution.
Inference and missing data
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The paper introduces counterfactual strata effects to identify causal estimands under missing exposures, missing baseline outcomes, and missing follow-up outcomes, demonstrated on the SEARCH-TB study with TMLE and Super Learner.
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Active Statistical Inference
Active inference adapts label collection via ML uncertainty to deliver valid statistical inference with substantially fewer samples than standard non-adaptive methods across any data distribution.
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Causal Inference with Missing Exposures and Missing Outcomes
The paper introduces counterfactual strata effects to identify causal estimands under missing exposures, missing baseline outcomes, and missing follow-up outcomes, demonstrated on the SEARCH-TB study with TMLE and Super Learner.