Review Articles

Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Fang Fang ,

School of Statistics, East China Normal University

Lyu Ni

School of Statistics, East China Normal University

Pages 134-136 | Received 20 Aug. 2018, Accepted 09 Sep. 2018, Published online: 22 Sep. 2018,
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Feature screening with missing data is a critical problem but has not been well addressed in the literature. In this discussion we propose a new screening index based on “information value” and apply it to feature screening with missing covariates.


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