R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
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Updated
Jan 6, 2024 - R
R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
Flexible mediation analysis using natural effect models in R
📦 R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data
MR project investigating the mediating role of mammographic density in the childhood body size and breast cancer relationship
📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions
R package to conduct mediation analysis using joint significance.
🎯 🔀 Targeted Learning for Causal Mediation Analysis
R package that provides functions to perform and interpret marginal mediation analysis.
A novel meta-analysis framework of the R-squared (R2)-based mediation effect estimation for high-dimensional omics mediators
Source files for reproducing results reported in the manuscript "Nonparametric Causal Mediation Analysis for Stochastic Interventional (In)Direct Effects" (N.S. Hejazi, K.E. Rudolph, M.J. van der Laan, I. Díaz, Biostatistics, 2022)
The PROCESS module
An R Package for Causal Mediation Analysis of ROSMAP Data
This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".
multimedia is an R package for multimodal mediation analysis of microbiome data. It has been designed to help integration of relative abundance, survey, and metabolomic data through causal mediation analysis.
Genome-wide multimediator analyses using the generalized Berk-Jones statistics with the composite test
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