12 citations · 13 across the 5 of their papers we have counts for
5 papers
Using auxiliary marginal distributions in imputations for nonresponse while accounting for survey weights, with application to estimating voter turnout
Jiurui Tang, D. Sunshine Hillygus, Jerome P. Reiter
The Current Population Survey is the gold-standard data source for studying who turns out to vote in elections. However, it suffers from potentially nonignorable unit and item nonr…
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse
Olanrewaju Akande, Gabriel Madson, D. Sunshine Hillygus +1
Often, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources,…
Bayesian Latent Pattern Mixture Models for Handling Attrition in Panel Studies With Refreshment Samples
Yajuan Si, Jerome P. Reiter, D. Sunshine Hillygus
Many panel studies collect refreshment samples---new, randomly sampled respondents who complete the questionnaire at the same time as a subsequent wave of the panel. With appropria…
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…
Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples
Yiting Deng, D. Sunshine Hillygus, Jerome P. Reiter +2
Panel studies typically suffer from attrition, which reduces sample size and can result in biased inferences. It is impossible to know whether or not the attrition causes bias from…