py-why/dowhy

regression adjusted estimator for propensity_score_weighting

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#407 创建于 2022年4月13日

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 (7 评论) (0 反应) (0 负责人)Python (6,453 star) (883 fork)batch import
good first issue

描述

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.

贡献者指南

技术栈
python
领域
datamachine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
3-5 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
unclear
前置要求
Pythoncausal inference basicsDoWhy API
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
20
研究方向
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.