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Distributional data analysis via quantile functions and its application to modeling digital biomarkers of gait in Alzheimer's Disease.

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第一作者： Rahul,Ghosal

第一单位： Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

作者： Rahul,Ghosal ^[1] ; Vijay R,Varma ^[2] ; Dmitri,Volfson ^[3] ; Inbar,Hillel ^[4] ; Jacek,Urbanek ^[5] ; Jeffrey M,Hausdorff ^[6] ; Amber,Watts ^[7] ; Vadim,Zipunnikov ^[1]

作者单位： Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. ^[1] National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, USA. ^[2] Neuroscience Analytics, Computational Biology, Takeda, Cambridge, MA, USA. ^[3] Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. ^[4] Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. ^[5] Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, Department of Physical Therapy, Sackler Faculty of Medicine, and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, and Rush Alzheimer's Disease Center and Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA. ^[6] Department of Psychology, University of Kansas, Lawrence, KS, USA. ^[7]

关键词 Alzheimer’s disease Gait JIVE L-Moments Quantile functions Scalar-on-quantile-function regression Wearable data

医学主题词人类(Humans);阿尔茨海默病(Alzheimer Disease);步态(Gait)

DOI 10.1093/biostatistics/kxab041

PMID 36519565

发布时间 2023-10-04

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