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Article

An Efficient and Accurate Distributed Learning Algorithm for Modeling Multi-Site Zero- Inflated Count Outcomes

2020-12-19

Abstract excerpt

Clinical research networks (CRNs), made up of multiple healthcare systems each with patient data from several care sites, are beneficial for studying rare outcomes and increasing generalizability of results. While CRNs encourage sharing aggregate data across healthcare systems, individual systems within CRNs often cannot share patient-level data due to privacy regulations, prohibiting multi-site regression which r...

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Identifiers and source

Literature Corpus work
13939be6-8e2c-5169-b508-6c440432de7a
DOI
10.1101/2020.12.17.20248194
Open publication

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An Efficient and Accurate Distributed Learning Algorithm for Modeling Multi-Site Zero- Inflated Count OutcomesDOI 10.1101/2020.12.17.20248194
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