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The Annals of Applied Statistics|November 27, 2014
A BAYESIAN HIERARCHICAL SPATIAL POINT PROCESS MODEL FOR MULTI-TYPE NEUROIMAGING META-ANALYSISJian Kang, Thomas E Nichols, Tor D Wager, et al.CNS Spectrums|March 30, 2004
Functional neuroimaging studies of human emotionsK Luan Phan, Tor D Wager, Stephan F Taylor, et al.Neuroimage|July 26, 2003
Valence, gender, and lateralization of functional brain anatomy in emotion: a meta-analysis of findings from neuroimagingTor D Wager, K Luan Phan, Israel Liberzon, et al.Human Brain Mapping|January 23, 2019
Modular preprocessing pipelines can reintroduce artifacts into fMRI dataMartin A Lindquist, Stephan Geuter, Tor D Wager, et al.Neuroimage|May 3, 2005
Increased sensitivity in neuroimaging analyses using robust regressionTor D Wager, Matthew C Keller, Steven C Lacey, et al.Plos Biology|January 7, 2015
Distinct brain systems mediate the effects of nociceptive input and self-regulation on painChoong-Wan Woo, Mathieu Roy, Jason T Buhle, et al.Pain Reports|October 4, 2019
Neuroimaging-based biomarkers for pain: state of the field and current directionsMaite M van der Miesen, Martin A Lindquist, Tor D WagerJournal of the American Statistical Association|June 28, 2011
Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point ProcessesJian Kang, Timothy D Johnson, Thomas E Nichols, et al.Pain|September 7, 2010
How the number of learning trials affects placebo and nocebo responsesLuana Colloca, Predrag Petrovic, Tor D Wager, et al.Social Cognitive and Affective Neuroscience|March 8, 2014
Bad and worse: neural systems underlying reappraisal of high- and low-intensity negative emotionsJennifer A Silvers, Jochen Weber, Tor D Wager, et al.Pageof 36