Classification model with weighted regularization to improve the reproducibility of neuroimaging signature selection-Reference-Cited by-同舟云学术

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Classification model with weighted regularization to improve the reproducibility of neuroimaging signature selection

Published:2022-08-14 Issue:25 Volume:41 Page:5046-5060
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Niu Xin¹,Gou Jiangtao²^ORCID,Chang Hansoo¹,Lowe Michael¹,Zhang Fengqing (Zoe)¹^ORCID

Affiliation:

1. Department of Psychological and Brain Sciences Drexel University Philadelphia Pennsylvania USA

2. Department of Mathematics and Statistics Villanova University Villanova Pennsylvania USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9553

Reference49 articles.

1. Integrative analysis and variable selection with multiple high-dimensional data sets

2. Subgroup identification in clinical trials: an overview of available methods and their implementations with R

3. Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3)

4. Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers

5. Resting-state connectivity biomarkers define neurophysiological subtypes of depression

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