Ratio-of-mediator-probability weighting (RMPW) for causal mediation analysis under treatment-by-mediator interaction¶
Theory · All theories
Evidence · 2 claims (2 for) · 1 study (1 theoretical),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
RMPW is a weighting-based approach to causal mediation analysis that decomposes a total effect into natural direct and indirect effects even when the mediator–outcome relationship depends on the treatment condition. The article gives "an intuitive explanation of the RMPW rationale, a mathematical proof, and simulation results for the parametric and nonparametric RMPW procedures." Unlike model-based alternatives, it relies on propensity score models for the mediator rather than a fully specified outcome model.
Design Implications¶
Context¶
Requirements¶
- Correct specification of the propensity score models for the mediator when parametric RMPW is applied
Constraints¶
- Causally valid results require that the sequential ignorability assumptions hold
Target Learners¶
- education and behavioral science researchers conducting mediation analysis
Target Learning Objectives¶
- decomposing total treatment effects into direct and indirect components in the presence of treatment-by-mediator interaction
Claims¶
- RMPW was applied to test whether employment mediated the effect of an experimental welfare-to-work program on maternal depression [+W]
- RMPW decomposes total effects into natural direct and indirect effects, with the indirect effect further split into a pure indirect effect and a natural treatment-by-mediator interaction effect [+W]
Related Theories¶
Examples¶
Key Sources¶
- Guanglei Hong, Jonah Deutsch, Heather D. Hill. (2015). Ratio-of-Mediator-Probability Weighting for Causal Mediation Analysis in the Presence of Treatment-by-Mediator Interaction. Journal of Educational and Behavioral Statistics, vol. 40, no. 3. https://www.mathematica.org/publications/ratioofmediatorprobability-weighting-for-causal-mediation-analysis-in-the-presence
Page metadata
| Field | Value |
|---|---|
type |
theory |
title |
Ratio-of-mediator-probability weighting (RMPW) for causal mediation analysis under treatment-by-mediator interaction |
description |
RMPW is a weighting-based approach to causal mediation analysis that decomposes a total effect into natural direct and indirect effects even when the mediator–outcome relationship depends on the treatment condition. |
status |
review |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — guanglei-hong-2015 |
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