Removal of Scanner Effects in Covariance Improves Multivariate Pattern Analysis in Neuroimaging Data

doi 10.1101/858415
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Cold Spring Harbor Laboratory

Related search

Poisson Noise Removal in Multivariate Count Data

2009English

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data

2017English

Covariance of Isometric and Dynamic Arm Contractions: Multivariate Genetic Analysis

Twin Research and Human Genetics
Child HealthPediatricsGynecologyPerinatologyObstetricsGenetics
2007English

Analysis of Covariance With Qualitative Data

1979English

Multivariate Analysis of Mash Data

Journal of Applied Sciences
2005English

A Test on the Multivariate Behrens–Fisher Problem in High–Dimensional Data by Block Covariance Estimation

Journal of Mathematics and Statistics
MathematicsStatisticsProbability
2019English

Best Practices in Data Analysis and Sharing in Neuroimaging Using MRI

Nature Neuroscience
Neuroscience
2017English

Optimal Decomposition of Covariance Matrices for Multivariate Stochastic Models in Hydrology

Water Resources Research
Water ScienceTechnology
1999English

Estimating Promotional Effects With Retailer-Level Scanner Data

SSRN Electronic Journal
2003English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy