Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation

Inverse probability weighting (IPW) and multiple imputation are two widely adopted approaches dealing with missing data. The former models the selection probability, and the latter models data distribution. Consistent estimation requires correct specification of corresponding models. Although the au...

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Veröffentlicht in:	Scandinavian journal of statistics 2016-03, Vol.43 (1), p.246-260
1. Verfasser:	Han, Peisong
Format:	Artikel
Sprache:	eng
Schlagworte:	augmented inverse probability weighting (AIPW) calibration double robustness empirical likelihood Estimating techniques missing at random (MAR) multiple robustness Probability Statistical methods Studies
Online-Zugang:	Volltext
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