A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models.

Detalles Bibliográficos
Publicado en:Journal of the American Medical Informatics Association Vol. 33; no. 3; pp. 700 - 710
Autores principales: Zhang, Bingyu, Wu, Qiong, Reps, Jenna M, Li, Lu, Tong, Jiayi, Lu, Yiwen, Zhang, Dazheng, Ramirez-Anguita, Juan Manuel, Bian, Jiang, Brand, Milou T
Formato: Journal Article
Publicado: Oxford University Press / USA Mar2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models.
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        au:
          Zhang, Bingyu
          Wu, Qiong
          Reps, Jenna M
          Li, Lu
          Tong, Jiayi
          Lu, Yiwen
          Zhang, Dazheng
          Ramirez-Anguita, Juan Manuel
          Bian, Jiang
          Brand, Milou T
        affil: The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA 19104, United StatesThe Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, United States
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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