Robust variance estimation and inference for causal effect estimation

Robust variance estimation and inference for causal effect estimation

We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome and (ii) a modified non-parametric bootstrap-b...

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Bibliographic Details
Main Authors: Tran Linh, Petersen Maya, Schwab Joshua, van der Laan Mark J.
Format: Article
Language:English
Published: De Gruyter 2023-08-01
Series:Journal of Causal Inference
Subjects:
estimator variance
influence function
targeted minimum loss-based estimation
asymptotic efficiency
non-parametric bootstrap
positivity assumption
augmented inverse probability-weighted estimation
62d20
Online Access:https://doi.org/10.1515/jci-2021-0067

Internet

https://doi.org/10.1515/jci-2021-0067

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