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Confound modelling in UK Biobank brain imaging

Journal article

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

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

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Botvinik-Nezer R. et al, (2019)

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.

Journal article

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

Stable between-subject statistical inference from unstable within-subject functional connectivity estimates.

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Vidaurre D. et al, (2019), Hum Brain Mapp, 40, 1234 - 1243

A group analysis using the Multiregression Dynamic Models for fMRI networked time series.

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Costa L. et al, (2019), J Stat Plan Inference, 198, 43 - 61

Accelerated estimation and permutation inference for ACE modeling

Journal article

Chen X. et al, (2019), Human Brain Mapping

Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies

Journal article

Samartsidis P. et al, (2019), Journal of the Royal Statistical Society. Series C: Applied Statistics, 68, 217 - 234

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