Include moderators that are no confounders
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Description
Hi!
Is it possible to include variables that only moderate but do not confound the relationship between T and Y?
Using the CausalForestDML, I would like to include an additional moderator to explain the heterogeneity of the treatment effect, but since it is also a mediator, I can't include it in X. I hope this makes sense.
Any thoughts and workarounds would be greatly appreciated. Thanks in advance!
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start with the CausalForestDML entry point and review how it uses X to explain treatment-effect heterogeneity. Determine whether a moderator that is also a mediator can be supported without treating it as a confounder; done would require a decided API approach or a documented workaround.
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Assessment
- Tech stack
- machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100