Doubly Robust Estimation in Missing Data and Causal Inference Models¶
Bang, H., & Robins, J. M. (2005). Doubly Robust Estimation in Missing Data and Causal Inference Models. Biometrics, 61(4), 962-973.
Cited by¶
1 citation across 1 artifact.
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Mechanisms¶
- Doubly Robust Missingness Adjustment
- Double robustness lets you hedge instead of guess.
This sourceShows how double robustness hedges model risk by remaining consistent when either of two nuisance models is correctly specified.
- Double robustness lets you hedge instead of guess.
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