Variable Screening with Missing Covariates: a Discussion of ‘statistical Inference for Nonignorable Missing Data Problems: a Selective Review’ by Niansheng Tang and Yuanyuan Ju

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.