TCRN researcher Jerry Reiter and former graduate student Yajuan Si have published a paper on the use of nonparametric Bayesian methods for multiple imputation of missing data in large-scale categorical databases. They applied the methods to impute background characteristics in the Trends in International Mathematics and Statistics Study. The paper will appear in the Journal of Educational and Behavioral Statistics.
Home » Miscellaneous » TCRN publishes paper on multiple imputation in large scale categorical databases