A Universal Approach for Causal Mediation Analysis
Estimation of Potential Outcomes Based on the Universal Approach (for ...
Test of Mediation Effects Between Two Objects
Bootstrapping Estimation for Causal Mediation Effects via Ordinary "fo...
Bootstrapping Estimation for Causal Mediation Effects via Multi-thread...
Modifications of Data and Models for Moderated Mediation
Confirmation of the Exposure
Formal Estimation for Causal Mediation Effects (The Main Function)
Identification of Mediator's type
Identification of Outcome's type
Visualization of Mediation Effects
Estimation of Potential Outcomes Based on the Universal Approach (for ...
Single-time Estimation for Causal Mediation Effects
Statistics of Estimated Value of Causal Mediation Effects
Summary of Formal Estimation for Causal Mediation Effects
Test of Mediation Effects Within One Single Object
This program realizes a universal estimation approach that accommodates multi-category variables and effect scales, making up for the deficiencies of the existing approaches when dealing with non-binary exposures and complex models. The estimation via bootstrapping can simultaneously provide results of causal mediation on risk difference (RD), odds ratio (OR) and risk ratio (RR) scales with tests of the effects' difference. The estimation is also applicable to many other settings, e.g., moderated mediation, inconsistent covariates, panel data, etc. The high flexibility and compatibility make it possible to apply for any type of model, greatly meeting the needs of current empirical researches.