Robust functional clustering of ERP data with application to a study of implicit learning in autism.

Hasenstab, Kyle; Sugar, Catherine; Telesca, Donatello; Jeste, Shafali; Sentürk, Damla

Hasenstab, Kyle; Sugar, Catherine; Telesca, Donatello; Jeste, Shafali; Sentürk, Damla.

Affiliation

Hasenstab K; Department of Statistics, University of California, Los Angeles, CA, USA.
Sugar C; Department of Biostatistics, University of California, Los Angeles, CA, USA.
Telesca D; Department of Biostatistics, University of California, Los Angeles, CA, USA.
Jeste S; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Sentürk D; Department of Biostatistics, University of California, Los Angeles, CA, USA dsenturk@ucla.edu.

Biostatistics ; 17(3): 484-98, 2016 07.

Article in En | MEDLINE | ID: mdl-26846337

Subject(s)

Autism Spectrum Disorder/physiopathology; Data Interpretation, Statistical; Electroencephalography/statistics & numerical data; Evoked Potentials/physiology; Learning/physiology; Child; Humans

Key words

Covariance heterogeneity; Electroencephalography; Event-related potentials data; Functional data analysis; Multilevel functional principal component decomposition

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Interpretation, Statistical / Electroencephalography / Evoked Potentials / Autism Spectrum Disorder / Learning Type of study: Prognostic_studies Limits: Child / Humans Language: En Journal: Biostatistics Year: 2016 Type: Article Affiliation country: United States

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