README.md

In kaskarn/causamed: Mediation in the causal inference framework

causamed

Implementation of Tyler Vanderweele's methods for mediation & causal inference, from the 2015 book

VanderWeele, T., 2015. Explanation in causal inference: methods for mediation and interaction. Oxford University Press.

Overview and changelog:

Implemented

• Regression methods for continuous mediator/outcome (section 3.1.1)
• IPTW-based method for scenario with exposure-induced M->Y confounding (section 5.3.1)
• G-estimation based method for joint effect of multiple mediators (section 5.3.3)
• Calculation of random interventional analogues to direct and indirect effects (section 5.4.2)
• version 0.1.0 : Structural means models to deal with exposure-induced confounding of M->Y given a continuous exposure or mediator (section 5.3.5)
• version 0.1.1 : Handling of mice objects to add to resampler (slow but more stable than pooling from few imputed datasets)

Installation

This package can be installed using devtools::install_github

kaskarn/causamed documentation built on Dec. 28, 2021, 11:01 a.m.