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Integrating external summary information in the presence of prior probability shift: an application to assessing essential hypertension.

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第一作者： Chixiang,Chen

第一单位： Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, 21201, United States.;Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, 21201, United States.;University of Maryland Institute for Health Computing, Bethesda, MD 20852, United States.

作者： Chixiang,Chen ^[1] ; Peisong,Han ^[2] ; Shuo,Chen ^[3] ; Michelle,Shardell ^[4] ; Jing,Qin ^[5]

作者单位： Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, 21201, United States.;Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, 21201, United States.;University of Maryland Institute for Health Computing, Bethesda, MD 20852, United States. ^[1] Biostatistics Innovation Group, Gilead Sciences, Foster City, CA 94404, United States. ^[2] Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, 21201, United States. ^[3] Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, 21201, United States.;Institute of Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, United States. ^[4] Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institute of Health, Bethesda, MD 20892, United States. ^[5]

关键词 UK Biobank essential hypertension heterogeneous data information integration prior probability shift