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Neuroimage|May 6, 2014
A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studiesDavid Degras, Martin A LindquistGenes|May 25, 2024
Elucidating Cancer Subtypes by Using the Relationship between DNA Methylation and Gene ExpressionMuneeba Jilani, David Degras, Nurit HaspelJournal of the American Statistical Association|August 1, 2014
Functional Causal Mediation Analysis With an Application to Brain ConnectivityMartin A LindquistBiorxiv : the Preprint Server for Biology|October 24, 2023
Sliding windows analysis can undo the effects of preprocessing when applied to fMRI dataMartin A LindquistScientific Reports|January 21, 2018
Robust phenotype prediction from gene expression data using differential shrinkage of co-regulated genesKourosh Zarringhalam, David Degras, Christoph Brockel, et al.Frontiers in Neuroscience|September 22, 2015
Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI dataYuting Xu, Martin A LindquistNeuroimage|July 29, 2022
Mode decomposition-based time-varying phase synchronization for fMRIHamed Honari, Martin A LindquistPerspectives on Psychological Science : a Journal of the Association for Psychological Science|July 10, 2015
Correlations and Multiple Comparisons in Functional Imaging: A Statistical Perspective (Commentary on Vul et al., 2009)Martin A Lindquist, Andrew GelmanBiorxiv : the Preprint Server for Biology|August 16, 2024
From Maps to Models: A Survey on the Reliability of Small Studies of Task-Based fMRIPatrick Sadil, Martin A LindquistHuman Brain Mapping|November 27, 2024
Comparing automated subcortical volume estimation methods; amygdala volumes estimated by FSL and FreeSurfer have poor consistencyPatrick Sadil, Martin A LindquistPageof 16