Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials

DOI10.1111/biom.13424zbMath1520.62357arXiv2004.12028OpenAlexW3124934600MaRDI QIDQ6055537

Unnamed Author, Ashish Patel, James M. S. Wason, Unnamed Author

Publication date: 30 October 2023

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.12028

zbMATH Keywords

randomizationridge regressioninteractionclinical trialscreeningbiomarker

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

A General Framework for Identifying Hierarchical Interactions and Its Application to Genomics Data

Cites Work

• Unnamed Item
• Unnamed Item
• Augmented case-only designs for randomized clinical trials with failure time endpoints
• Testing for gene-environment interaction under exposure misspecification
• Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction
• Multiple Comparisons Among Means
• Exploiting Gene‐Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes‐Type Shrinkage Estimator to Trade‐Off between Bias and Efficiency
• Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials
• Asymptotic Statistics
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• High Dimensional Ordinary Least Squares Projection for Screening Variables
• Rectangular Confidence Regions for the Means of Multivariate Normal Distributions

This page was built for publication: Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials