High-dimensional causal mediation analysis based on partial linear structural equation models
From MaRDI portal
Publication:2157518
DOI10.1016/j.csda.2022.107501OpenAlexW4226182662WikidataQ113877320 ScholiaQ113877320MaRDI QIDQ2157518
Xizhen Cai, Debashis Ghosh, Yeying Zhu, Yu-An Huang
Publication date: 22 July 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107501
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- Identification, inference and sensitivity analysis for causal mediation effects
- Bayesian inference for causal effects: The role of randomization
- Robust inference for mediated effects in partially linear models
- Mediation Analysis with Multiple Mediators
- Identification of Causal Effects Using Instrumental Variables
- Causal mediation analysis with multiple mediators
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Outcome‐adaptive lasso: Variable selection for causal inference
- Post selection shrinkage estimation for high‐dimensional data analysis
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Regularization and Variable Selection Via the Elastic Net
- Causal Mediation Analyses with Rank Preserving Models
- Hypothesis test of mediation effect in causal mediation model with high‐dimensional continuous mediators
This page was built for publication: High-dimensional causal mediation analysis based on partial linear structural equation models