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03/14/2021
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
Multiple imputation (MI) is the state-of-the-art approach for dealing wi...
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11/11/2020
Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margin
We outline a framework for multiple imputation of nonignorable item nonr...
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10/20/2020
A Comparative Study of Imputation Methods for Multivariate Ordinal Data
Missing data remains a very common problem in large datasets, including ...
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07/12/2020
Multiple Imputation and Synthetic Data Generation with the R package NPBayesImputeCat
In many contexts, missing data and disclosure control are ubiquitous and...
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07/13/2019
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse
When handling nonresponse, government agencies and survey organizations ...
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04/14/2018