Daniel, Rhian M.; Kenward, Michael G. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1624-1643
Missing data are common wherever statistical methods are applied in practice. They present a problem in that they require that additional assumptions be made about the mechanism leading to the incompleteness of the data. By incorporating two models for the missing data process, doubly robust...