Robust gene–environment interaction analysis using penalized trimmed regression-Reference-Cited by-同舟云学术

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Robust gene–environment interaction analysis using penalized trimmed regression

Published:2018-09-19 Issue:18 Volume:88 Page:3502-3528
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Xu Yaqing¹,Wu Mengyun¹²,Ma Shuangge¹,Ejaz Ahmed Syed³

Affiliation:

1. Department of Biostatistics, Yale University, New Haven, CT, USA

2. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China

3. Department of Mathematics and Statistics, Brock University, Ontario, Canada

Funder

National Institutes of Health

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2018.1523411

Reference27 articles.

1. Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study

2. Identifying gene-environment interactions for prognosis using a robust approach

3. A penalized robust semiparametric approach for gene-environment interactions

4. Semivarying coefficient least-squares support vector regression for analyzing high-dimensional gene-environmental data

5. A lasso for hierarchical interactions

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1. Robust Identification of Gene-Environment Interactions Under High-Dimensional Accelerated Failure Time Models;Financial Mathematics and Fintech;2023

2. Model averaging for semiparametric varying coefficient quantile regression models;Annals of the Institute of Statistical Mathematics;2022-12-22

3. Overlapping group screening for detection of gene-environment interactions with application to TCGA high-dimensional survival genomic data;BMC Bioinformatics;2022-05-30

4. GEInter: an R package for robust gene–environment interaction analysis;Bioinformatics;2021-05-07

5. GEInter: Robust Gene-Environment Interaction Analysis;CRAN: Contributed Packages;2021-01-21

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