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One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.

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第一作者： Dazheng,Zhang

第一单位： The Center for Health Analytics and Synthesis of Evidence (CHASE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. Electronic address: https://twitter.com/DazhengZ.

作者： Dazheng,Zhang ^[1] ; Jiayi,Tong ^[2] ; Ronen,Stein ^[3] ; Yiwen,Lu ^[4] ; Naimin,Jing ^[5] ; Yuchen,Yang ^[6] ; Mary R,Boland ^[7] ; Chongliang,Luo ^[8] ; Robert N,Baldassano ^[3] ; Raymond J,Carroll ^[9] ; Christopher B,Forrest ^[10] ; Yong,Chen ^[11]

作者单位： The Center for Health Analytics and Synthesis of Evidence (CHASE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. Electronic address: https://twitter.com/DazhengZ. ^[1] The Center for Health Analytics and Synthesis of Evidence (CHASE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. Electronic address: https://twitter.com/JiayiJessieTong. ^[2] Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. ^[3] The Center for Health Analytics and Synthesis of Evidence (CHASE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA. ^[4] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Biostatistics and Research Decision Sciences, Merck & Co., Inc, NJ, USA. ^[5] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. ^[6] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Mathematics, Saint Vincent College, Latrobe, PA, USA. ^[7] Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Division of Public Health Sciences, Washington University School of Medicine in St Louis, St Louis, MO, USA. ^[8] Department of Statistics, Texas A&M University, TX, USA. ^[9] Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA. ^[10] The Center for Health Analytics and Synthesis of Evidence (CHASE), University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, Philadelphia, PA, USA; Penn Medicine Center for Evidence-based Practice (CEP), Philadelphia, PA, USA; Penn Institute for Biomedical Informatics (IBI), Philadelphia, PA, USA. Electronic address: ychen123@upenn.edu. ^[11]

关键词 Communication-efficient Competing risks model Distributed research network Federated learning One-shot distributed algorithm

医学主题词人类(Humans);儿童(Child);青少年(Adolescent);结果可重复性(Reproducibility of Results);算法(Algorithms);计算机模拟(Computer Simulation);比例危险度模型(Proportional Hazards Models);似然函数(Likelihood Functions)

DOI 10.1016/j.jbi.2024.104595

PMID 38244958

发布时间 2025-02-02

基金项目

R56 AG069880/AG/NIA NIH HHS/United States OT2 HL161847/HL/NHLBI NIH HHS/United States R01 LM014344/LM/NLM NIH HHS/United States RF1 AG077820/AG/NIA NIH HHS/United States R01 LM013519/LM/NLM NIH HHS/United States R01 LM012607/LM/NLM NIH HHS/United States R21 AI167418/AI/NIAID NIH HHS/United States U01 TR003709/TR/NCATS NIH HHS/United States R56 AG074604/AG/NIA NIH HHS/United States R01 AG073435/AG/NIA NIH HHS/United States R01 AI130460/AI/NIAID NIH HHS/United States R21 EY034179/EY/NEI NIH HHS/United States

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