BLMM: Parallelised computing for big linear mixed models
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Publisher Correction: Reproducible brain-wide association studies require thousands of individuals.
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Reproducible brain-wide association studies require thousands of individuals
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NICHOLS T., (2022), BWAS
Reproducible brain-wide association studies require thousands of individuals
Journal article
NICHOLS T., (2022), BWAS
BLMM: Parallelised Computing for Big Linear Mixed Models
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Maullin-Sapey T. and Nichols T., (2022)
The additive impact of cardio-metabolic disorders and psychiatric illnesses on accelerated brain aging.
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Alcohol consumption and MRI markers of brain structure and function: Cohort study of 25,378 UK Biobank participants.
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ASSOCIATION OF MRI-DERIVED LIVER BIOMARKERS WITH CARDIOVASCULAR RISK FACTORS, OUTCOMES, AND ALL-CAUSE MORTALITY-A PROSPECTIVE ANALYSIS OF 33,616 INDIVIDUALS FROM THE UK BIOBANK COHORT
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Causal Inference on Neuroimaging Data with Mendelian Randomisation
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