Statistical Approaches for the Study of Cognitive and Brain Aging.

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作者： Huaihou,Chen ^[1] ; Bingxin,Zhao ^[2] ; Guanqun,Cao ^[3] ; Eric C,Proges ^[2] ; Andrew,O'Shea ^[2] ; Adam J,Woods ^[2] ; Ronald A,Cohen ^[2]

作者单位： Department of Biostatistics, University of FloridaGainesville, FL, USA; Department of Aging and Geriatric Research, Center for Cognitive Aging and Memory, Institute on Aging, McKnight Brain Institute, University of FloridaGainesville, FL, USA. ^[1] Department of Aging and Geriatric Research, Center for Cognitive Aging and Memory, Institute on Aging, McKnight Brain Institute, University of Florida Gainesville, FL, USA. ^[2] Department of Mathematics and Statistics, Auburn University Auburn, AL, USA. ^[3]

关键词 functional connectivity graphical model penalized regression methods semiparametric model structural covariance

DOI 10.3389/fnagi.2016.00176

PMID 27486400

发布时间 2020-10-01

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Frontiers in aging neuroscience

2016年8卷

176页

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Statistical Approaches for the Study of Cognitive and Brain Aging.

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Statistical Approaches for the Study of Cognitive and Brain Aging.

Frontiers in aging neuroscience

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Frontiers in aging neuroscience

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