Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies

DOI10.1002/bimj.201900373zbMath1523.62093OpenAlexW3159166596MaRDI QIDQ6064183

Unnamed Author, Harald Binder, Nadine Binder, Unnamed Author

Publication date: 12 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201900373

zbMATH Keywords

compositional datahigh-dimensional regressionmoderationmediation analysisgut microbiome

Mathematics Subject Classification ID

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

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
• A lasso for hierarchical interactions
• Conceptual issues concerning mediation, interventions and composition
• Statistical analysis of microbiome data with R
• Compositional mediation analysis for microbiome studies
• A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
• On model selection and model misspecification in causal inference
• Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models

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