py-why/dowhy

regression adjusted estimator for propensity_score_weighting

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#407 opened on Apr 13, 2022

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 (7 comments) (0 reactions) (0 assignees)Python (6,453 stars) (883 forks)batch import
good first issue

Description

Thank you for developing this package. I am looking for regression adjusted estimator for propensity_score_weighting. Is that something the package would be supporting in the future?

Thanks.

Contributor guide

Tech stack
python
Domain
datamachine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
unclear
Prerequisites
Pythoncausal inference basicsDoWhy API
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
The issue is a feature request for a regression adjusted estimator for propensity score weighting. To implement, one should study the existing propensity score weighting estimator in the DoWhy codebase (e.g., dowhy/causal estimators/), understand the theoretical foundation of regression adjustment, and develop a new estimator class. The feature was requested in 2022 and no maintainer response is visible; it may need initial discussion to clarify acceptance criteria.