Mediation effect selection in high-dimensional and compositional microbiome data
From MaRDI portal
Publication:6627933
DOI10.1002/sim.8808zbMATH Open1546.62899MaRDI QIDQ6627933
Huilin Li, Lei Liu, Chan Wang, Hai-xiang Zhang, Unnamed Author, Yang Feng
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
high-dimensional dataclosed testingmediation analysiscompositional microbiome dataIsometric log-ratio transformation
Cites Work
- Unnamed Item
- Unnamed Item
- Variable selection in regression with compositional covariates
- Isometric logratio transformations for compositional data analysis
- The control of the false discovery rate in multiple testing under dependency.
- Statistical analysis of zero-inflated nonnegative continuous data: a review
- Compositional mediation analysis for microbiome studies
- On closed testing procedures with special reference to ordered analysis of variance
- Linear regression with compositional explanatory variables
- Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing
- High dimensional mediation analysis with latent variables
- Hypothesis test of mediation effect in causal mediation model with high‐dimensional continuous mediators
- Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
- Multiple testing for exploratory research
Related Items (1)
This page was built for publication: Mediation effect selection in high-dimensional and compositional microbiome data