Interpretable High-Dimensional Inference Via Score Projection With an Application in Neuroimaging

DOI10.1080/01621459.2018.1448826zbMath1420.62257arXiv1709.09009OpenAlexW2367194875WikidataQ90243736 ScholiaQ90243736MaRDI QIDQ5231509

Russell T. Shinohara, Simon N. Vandekar, Philip T. Reiss

Publication date: 27 August 2019

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.09009

zbMATH Keywords

score testAlzheimer's diseaseneuroimagingassociation testcortical thicknesspost hoc inference

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Uses Software

• FreeSurfer

Cites Work

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• Functional Generalized Linear Models with Images as Predictors
• Asymptotic Statistics
• Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
• Two-Sample Test of High Dimensional Means Under Dependence
• Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
• Correlation and Large-Scale Simultaneous Significance Testing
• False Discovery Control in Large-Scale Spatial Multiple Testing
• An adaptive two-sample test for high-dimensional means
• Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing

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