Improved double-robust estimation in missing data and causal inference models
Recently proposed double-robust estimators for a population mean from incomplete data and for a finite number of counterfactual means can have much higher efficiency than the usual double-robust estimators under misspecification of the outcome model. In this paper, we derive a new class of double-ro...
| Autores principales: | Rotnitzky, A., Lei, Q., Sued, M., Robins, J.M. |
|---|---|
| Formato: | JOUR |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00063444_v99_n2_p439_Rotnitzky |
| Aporte de: |
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