REMI: REGRESSION WITH MARGINAL INFORMATION AND ITS APPLICATION IN GENOME-WIDE ASSOCIATION STUDIES

DOI10.5705/ss.202019.0182OpenAlexW3037420715MaRDI QIDQ5037800

Can Yang, Jin Liu, Jian Huang, Yu Ling Jiao

Publication date: 4 March 2022

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.01284

zbMATH Keywords

high-dimensional regressiongenome-wide association studiespolygenic risk scoremarginal information

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

REMI

Uses Software

• R
• PLINK
• glmnet
• ElemStatLearn
• GCTA
• GitHub
• GEMMA
• GWAS Catalog

Cites Work

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• Bayesian large-scale multiple regression with summary statistics from genome-wide association studies
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• Simultaneous analysis of Lasso and Dantzig selector
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• High-dimensional graphs and variable selection with the Lasso
• Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls
• A general theory of concave regularization for high-dimensional sparse estimation problems

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