Robust quasi‐randomization‐based estimation with ensemble learning for missing data

Missing data analysis requires assumptions about an outcome model or a response probability model to adjust for potential bias due to nonresponse. Doubly robust (DR) estimators are consistent if at least one of the models is correctly specified. Multiply robust (MR) estimators extend DR estimators b...

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Veröffentlicht in:	Scandinavian journal of statistics 2023-09, Vol.50 (3), p.1263-1278
Hauptverfasser:	Lee, Danhyang, Zhang, Li‐Chun, Chen, Sixia
Format:	Artikel
Sprache:	eng
Schlagworte:	cell mean model Data analysis Ensemble learning Estimators item nonresponse Machine learning missing at random Missing data Randomization Rao–Blackwell method Robustness Statistical analysis Statistical methods variance estimation
Online-Zugang:	Volltext
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