An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

Abstract 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 s...

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Autores principales: Mackenzie J. Edmondson, Chongliang Luo, Rui Duan, Mitchell Maltenfort, Zhaoyi Chen, Kenneth Locke, Justine Shults, Jiang Bian, Patrick B. Ryan, Christopher B. Forrest, Yong Chen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3a78a1579acc457c9233ae9b78dfb276
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