36 citations · 62 across the 10 of their papers we have counts for
10 papers
Differentially Private Estimation of Weighted Average Treatment Effects for Binary Outcomes
Sharmistha Guha, Jerome P. Reiter
In the social and health sciences, researchers often make causal inferences using sensitive variables. These researchers, as well as the data holders themselves, may be ethically a…
Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework
Olivier Binette, Jerome P. Reiter
Commonly, AI or machine learning (ML) models are evaluated on benchmark datasets. This practice supports innovative methodological research, but benchmark performance can be poorly…
Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
Yanjiao Yang, Jerome P. Reiter
Survey data collection often is plagued by unit and item nonresponse. To reduce reliance on strong assumptions about the missingness mechanisms, statisticians can use information a…
How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguation
Olivier Binette, Youngsoo Baek, Siddharth Engineer +3
Entity resolution (record linkage, microclustering) systems are notoriously difficult to evaluate. Looking for a needle in a haystack, traditional evaluation methods use sophistica…
Differentially Private Verification of Survey-Weighted Estimates
Tong Lin, Jerome P. Reiter
Several official statistics agencies release synthetic data as public use microdata files. In practice, synthetic data do not admit accurate results for every analysis. Thus, it is…
Research Note: Bayesian Record Linkage with Application to Chinese Immigrants in Raleigh-Durham (ChIRDU) Study
Eric A. Bai, Madeleine Beckner, Botao Ju +3
Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine re…