66 citations · 189 across the 22 of their papers we have counts for
6 papers · 1 filter
Simultaneous Record Linkage and Causal Inference with Propensity Score Subclassification
Joan Heck Wortman, Jerome P. Reiter
We develop methodology for causal inference in observational studies when using propensity score subclassification on data constructed with probabilistic record linkage techniques.…
Multiple Imputation of Missing Values in Household Data with Structural Zeros
Olanrewaju Akande, Jerome Reiter, Andrés F. Barrientos
We present an approach for imputation of missing items in multivariate categorical data nested within households. The approach relies on a latent class model that (i) allows for ho…
Differentially private significance tests for regression coefficients
Andrés F. Barrientos, Jerome P. Reiter, Ashwin Machanavajjhala +1
Many data producers seek to provide users access to confidential data without unduly compromising data subjects' privacy and confidentiality. One general strategy is to require use…
Providing Access to Confidential Research Data Through Synthesis and Verification: An Application to Data on Employees of the U.S. Federal Government
Andrés F. Barrientos, Alexander Bolton, Tom Balmat +6
Data stewards seeking to provide access to large-scale social science data face a difficult challenge. They have to share data in ways that protect privacy and confidentiality, are…
Sequential identification of nonignorable missing data mechanisms
Mauricio Sadinle, Jerome P. Reiter
With nonignorable missing data, likelihood-based inference should be based on the joint distribution of the study variables and their missingness indicators. These joint models can…
Privacy-Preserving Data Analysis for the Federal Statistical Agencies
John Abowd, Lorenzo Alvisi, Cynthia Dwork +3
Government statistical agencies collect enormously valuable data on the nation's population and business activities. Wide access to these data enables evidence-based policy making,…