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Confound modelling in UK Biobank brain imaging.

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Alfaro-Almagro F. et al, (2020), Neuroimage

Confidence Sets for Cohen’s d Effect Size Images

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Bowring A. et al, (2020)

Variability in the analysis of a single neuroimaging dataset by many teams.

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Botvinik-Nezer R. et al, (2020), Nature

Selective peak inference: Unbiased estimation of raw and standardized effect size at local maxima.

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Davenport S. and Nichols TE., (2020), Neuroimage, 209

Confound modelling in UK Biobank brain imaging

Other

Alfaro-Almagro F. et al, (2020)

Guidelines for the content and format of PET brain data in publications and archives: A consensus paper.

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Knudsen GM. et al, (2020), J Cereb Blood Flow Metab

Spatial confidence sets for raw effect size images

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Bowring A. et al, (2019), NeuroImage, 203

The harmonic mean p-value: Strong versus weak control, and the assumption of independence.

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Goeman JJ. et al, (2019), Proc Natl Acad Sci U S A, 116, 23382 - 23383

Variability in the analysis of a single neuroimaging dataset by many teams

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Botvinik-Nezer R. et al, (2019)

Estimation of brain age delta from brain imaging.

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Smith SM. et al, (2019), Neuroimage, 200, 528 - 539

Discovering markers of healthy aging: a prospective study in a Danish male birth cohort.

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Zarnani K. et al, (2019), Aging (Albany NY), 11, 5943 - 5974

Towards Algorithmic Analytics for Large-scale Datasets.

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Bzdok D. et al, (2019), Nat Mach Intell, 1, 296 - 306

Spatial Confidence Sets for Raw Effect Size Images

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Bowring A. et al, (2019)

Exploring the impact of analysis software on task fMRI results.

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Bowring A. et al, (2019), Hum Brain Mapp

Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates.

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Eklund A. et al, (2019), Hum Brain Mapp, 40, 2017 - 2032

Genomic kinship construction to enhance genetic analyses in the human connectome project data.

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Kochunov P. et al, (2019), Hum Brain Mapp, 40, 1677 - 1688

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