Interaction analysis under misspecification of main effects: some common mistakes and simple solutions

DOI10.1002/SIM.8505zbMATH Open1546.62903MaRDI QIDQ6627371

Bhramar Mukherjee, Shi-Kun Wang, Min Zhang, Youfei Yu, Lars G. Fritsche, Maxwell Salvatore, Zihuai He

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

independencepowertype I errorrobust testssandwich variance estimatorgene-environment interactiongeneralized additive model (GAM)joint tests

Mathematics Subject Classification ID

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

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Predictive learning via rule ensembles
• Essential Statistical Inference
• Testing for gene-environment interaction under exposure misspecification
• Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction
• Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models
• Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials
• Asymptotic Statistics
• Multiply Robust Inference for Statistical Interactions

Related Items (1)

A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures

This page was built for publication: Interaction analysis under misspecification of main effects: some common mistakes and simple solutions

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6627371)