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Confidence intervals for policy evaluation in adaptive experiments

Confidence intervals for policy evaluation in adaptive experiments

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8054003

Confidence intervals for policy evaluation in adaptive experiments

About this item

Full title

Confidence intervals for policy evaluation in adaptive experiments

Publisher

United States: National Academy of Sciences

Journal title

Proceedings of the National Academy of Sciences - PNAS, 2021-04, Vol.118 (15), p.1-10

Language

English

Formats

Publication information

Publisher

United States: National Academy of Sciences

More information

Scope and Contents

Contents

Adaptive experimental designs can dramatically improve efficiency in randomized trials. But with adaptively collected data, common estimators based on sample means and inverse propensity-weighted means can be biased or heavy-tailed. This poses statistical challenges, in particular when the experimenter would like to test hypotheses about parameters...

Alternative Titles

Full title

Confidence intervals for policy evaluation in adaptive experiments

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8054003

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8054003

Other Identifiers

ISSN

0027-8424

E-ISSN

1091-6490

DOI

10.1073/pnas.2014602118

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