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Biostatistics (Oxford, England)|May 5, 2021
Single-index models with functional connectivity network predictorsCaleb Weaver, Luo Xiao, Martin A LindquistNeuroimage|May 7, 2021
Moderated t-tests for group-level fMRI analysisGuoqing Wang, John Muschelli, Martin A LindquistIEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society|October 31, 2024
A tensor based varying-coefficient model for multi-modal neuroimaging data analysisPratim Guha Niyogi, Martin A Lindquist, Tapabrata MaitiNeuroimage|January 1, 2021
Evaluating phase synchronization methods in fMRI: A comparison study and new approachesHamed Honari, Ann S Choe, Martin A LindquistComputational Statistics & Data Analysis|September 1, 2020
Sparse Principal Component based High-Dimensional Mediation AnalysisYi Zhao, Martin A Lindquist, Brian S CaffoNeuroimage|March 16, 2007
Modeling state-related fMRI activity using change-point theoryMartin A Lindquist, Christian Waugh, Tor D WagerFrontiers in Computational Neuroscience|November 8, 2013
Detecting functional connectivity change points for single-subject fMRI dataIvor Cribben, Tor D Wager, Martin A LindquistBiorxiv : the Preprint Server for Biology|February 23, 2026
Cortical maps diverge, representations converge along cortical hierarchyBogdan Petre, Martin A Lindquist, Tor D WagerBrain Stimulation|April 20, 2017
Response variability of different anodal transcranial direct current stimulation intensities across multiple sessionsClaudia Ammann, Martin A Lindquist, Pablo A CelnikBiostatistics (Oxford, England)|October 22, 2019
A functional mixed model for scalar on function regression with application to a functional MRI studyWanying Ma, Luo Xiao, Bowen Liu, et al.Pageof 16