Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random

Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random

The augmented inverse probability weighting is well known for its double robustness in missing data and causal inference. If either the propensity score model or the outcome regression model is correctly specified, the estimator is guaranteed to be consistent. Another important property of the augme...

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Bibliographic Details
Main Authors: Fei Wang, Yuhao Deng
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
augmented inverse probability weighting
causal inference
double robustness
missing data
non-asymptotic
Online Access:https://www.mdpi.com/2227-7390/11/4/818

Internet

https://www.mdpi.com/2227-7390/11/4/818

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