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Neuroimage|December 17, 2008
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modelingMartin A Lindquist, Ji Meng Loh, Lauren Y Atlas, et al.
Nature Neuroscience|February 24, 2017
Building better biomarkers: brain models in translational neuroimagingChoong-Wan Woo, Luke J Chang, Martin A Lindquist, et al.
Journal of Neurophysiology|April 24, 2015
Explicit knowledge enhances motor vigor and performance: motivation versus practice in sequence tasksAaron L Wong, Martin A Lindquist, Adrian M Haith, et al.
Pain|October 14, 2025
Accelerating discovery in pain science: the Acute to Chronic Pain Signatures programTor D Wager, Stephani P Sutherland, Martin A Lindquist, et al.
AJS; American Journal of Sociology|June 9, 2011
Segregation in social networks based on acquaintanceship and trustThomas A DiPrete, Andrew Gelman, Tyler McCormick, et al.
Psychometrika|October 5, 2013
A nondegenerate penalized likelihood estimator for variance parameters in multilevel modelsYeojin Chung, Sophia Rabe-Hesketh, Vincent Dorie, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|June 24, 2010
Everything you never wanted to know about circular analysis, but were afraid to askNikolaus Kriegeskorte, Martin A Lindquist, Thomas E Nichols, et al.
Biostatistics (Oxford, England)|June 29, 2025
Causal functional mediation analysis with an application to functional magnetic resonance imaging dataYi Zhao, Xi Luo, Michael E Sobel, et al.
Science Advances|February 15, 2023
Toward a taxonomy of trust for probabilistic machine learningTamara Broderick, Andrew Gelman, Rachael Meager, et al.
Journal of the American Statistical Association|October 16, 2020
A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data AnalysisAmanda F Mejia, Yu Ryan Yue, David Bolin, et al.
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