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An evaluation of the suboptimality of various imputation methods when applied to handle various mechanisms of missingness

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AB20CS/Missing-Data-Project

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Missing Data Project

A research project completed in Winter 2022, supervised by Dr. Rahul Krishnan at the Machine Learning and Computational Healthcare Lab. Evaluated, through a causal inference perspective, the suboptimality of various imputation methods (such as doubly robust estimators and variational autoencoders) when applied to handle various mechanisms of missingness (i.e., MCAR, MAR and MNAR).

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An evaluation of the suboptimality of various imputation methods when applied to handle various mechanisms of missingness

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