66 citations · 189 across the 22 of their papers we have counts for
4 papers · 1 filter
Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables
Thais Paiva, Jerry Reiter
We present an approach to inform decisions about nonresponse follow-up sampling. The basic idea is (i) to create completed samples by imputing nonrespondents' data under various as…
An Empirical Comparison of Multiple Imputation Methods for Categorical Data
Olanrewaju Akande, Fan Li, Jerome Reiter
Multiple imputation is a common approach for dealing with missing values in statistical databases. The imputer fills in missing values with draws from predictive models estimated f…
Bayesian Mixture Models With Focused Clustering for Mixed Ordinal and Nominal Data
Maria DeYoreo, Jerome P. Reiter, D. Sunshine Hillygus
In some contexts, mixture models can fit certain variables well at the expense of others in ways beyond the analyst's control. For example, when the data include some variables wit…
Categorical Data Fusion Using Auxiliary Information
Bailey K. Fosdick, Maria DeYoreo, Jerome P. Reiter
In data fusion analysts seek to combine information from two databases comprised of disjoint sets of individuals, in which some variables appear in both databases and other variabl…