Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer’s Disease

DOI10.1080/01621459.2022.2087658zbMath1515.62123arXiv2007.04558MaRDI QIDQ6110690

Hong-Tu Zhu, Linbo Wang, Dehan Kong, Dengdeng Yu

Publication date: 6 July 2023

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

Full work available at URL: https://arxiv.org/abs/2007.04558

zbMATH Keywords

variable selectionhippocampusconfounders2D surfacebehavioral deficits

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35) Biomedical imaging and signal processing (92C55)

Cites Work

• Discussion of “Data-driven confounder selection via Markov and Bayesian networks” by Häggström
• L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses
• Outcome‐adaptive lasso: Variable selection for causal inference
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Interaction Screening for Ultrahigh-Dimensional Data
• Regularized Matrix Regression
• Analysis of secondary phenotypes in multigroup association studies
• Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics
• Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference

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