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Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Ran...

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Ran...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2414583410

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments

About this item

Full title

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

It is common in the internet industry to use offline-developed algorithms to power online products that contribute to the success of a business. Offline-developed algorithms are guided by offline evaluation metrics, which are often different from online business key performance indicators (KPIs). To maximize business KPIs, it is important to pick a...

Alternative Titles

Full title

Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2414583410

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2414583410

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2006.09666

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