On detecting the effect of exposure mixture

DOI10.1080/02664763.2022.2061430OpenAlexW4224119461MaRDI QIDQ6164648

Zhezhen Jin, Xinhua Liu

Publication date: 28 July 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2022.2061430

zbMATH Keywords

weightslinear regression\(F\)-testoverall effectworking model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The Adaptive Lasso and Its Oracle Properties
• Characterization of weighted quantile sum regression for highly correlated data in a risk analysis setting
• Stacked regressions
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Hypothesis Testing When a Nuisance Parameter is Present Only Under the Alternative
• Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case
• Regularization and Variable Selection Via the Elastic Net

This page was built for publication: On detecting the effect of exposure mixture