Title	Spatial Functional Models for Event-Related Potential Data, with Application to Smoking Cessation Study
Creator	Morris, Jeffrey
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-02-03T09:47
Description	In this talk, I will describe a set of spatial functional regression modeling strategies for modeling event-related potential data. These strategies attempt to flexibly account for their complex spatio-temporal structure while relating the ERPs to covariates while providing rigorous multiplicity-adjusted inference and scaling up to large studies. Various model comparison measures are introduced and described to assess which models best fit the data, and the methods are applied to a smoking cessation study to assess neurological response to different types of visual stimuli. These methods are also applicable to other types of neuroimaging data.
Extent	30 minutes
Subject	Mathematics; Statistics; Game theory, economics, social and behavioral sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: The University of Texas M.D. Anderson Cancer Center
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-08-05
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0307382
URI	http://hdl.handle.net/2429/58683
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Spatial Functional Models for Event-Related Potential Data, with Application to Smoking Cessation Study Morris, Jeffrey

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