Jerome P. Reiter
Professor of Statistical Science
My primary areas of research include methods for preserving data confidentiality, for handling missing values, for integrating information across multiple sources, and for the analysis of surveys and causal studies. I enjoy collaborating on data analyses with researchers who are not statisticians, particularly in the social sciences and public policy.
Current Appointments & Affiliations
- Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2013
- Interim Dean of Natural Science in Trinity College of Arts & Sciences, Trinity College of Arts & Sciences, Duke University 2022
- Faculty Research Scholar of DuPRI's Population Research Center, Duke Population Research Center, Duke Population Research Institute 2010
- Faculty Network Member of The Energy Initiative, Nicholas Institute-Energy Initiative, Initiatives 2012
- Affiliate of the Center for Child and Family Policy, Center for Child and Family Policy, Sanford School of Public Policy 2015
- Affiliate Faculty Member, Duke-Margolis Center for Health Policy, Duke - Margolis Center For Health Policy, Initiatives 2019
- Bass Fellow, Statistical Science, Trinity College of Arts & Sciences 2015
Contact Information
- 214A Old Chem, Box 90251, Durham, NC 27708
- Duke Box 90251, Durham, NC 27708-0251
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jreiter@duke.edu
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Personal site
- Background
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Education, Training, & Certifications
- Ph.D., Harvard University 1999
- B.S., Duke University 1992
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Previous Appointments & Affiliations
- Chair of the Department of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2019 - 2022
- Associate Chair of the Department of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2016 - 2019
- Mrs. Alexander Hehmeyer Associate Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2010 - 2015
- Associate Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2009 - 2013
- Assistant Professor in the Institute of Statistics and Decision Sciences, Statistical Science, Trinity College of Arts & Sciences 2006 - 2008
- Assistant Professor of the Practice of Statistics and Decision Sciences, Statistical Science, Trinity College of Arts & Sciences 2002 - 2006
- Recognition
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In the News
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JUN 6, 2022 Trinity College of Arts and Sciences -
SEP 17, 2020 Pratt School of Engineering -
MAY 22, 2020 Trinity College of Arts and Sciences -
JUN 26, 2017 Duke Research Blog -
JUL 30, 2015 The Atlantic -
APR 16, 2014
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Awards & Honors
- Expertise
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Subject Headings
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Global Scholarship
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Research
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- Research
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Selected Grants
- Enhancing Synthetic Data Techniques for Practical Applications awarded by National Science Foundation 2022 - 2025
- Synthetic Data for the National Center for Health Statistics awarded by Georgia Institute of Technology 2023
- Addressing Bias from Missing Data in EHR Based Studies of CVD awarded by National Institutes of Health 2018 - 2023
- Integrating Multiple Data Sources to Account for Nonignorable Nonresponse awarded by National Science Foundation 2017 - 2020
- CIF21 DIBBs: An Integrated System for Public/Private Access to Large-scale, Confidential Social Science Data awarded by National Science Foundation 2015 - 2018
- Computatopmal Methods and Tools for Creating High Quality, Public Use Census Microdata awarded by Alfred P. Sloan Foundation 2016 - 2017
- NCRN-MN:Triangle Census Research Network awarded by National Science Foundation 2011 - 2016
- TC: Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Record-level and Relational Data awarded by National Science Foundation 2010 - 2016
- Multiple Imputation Methods for Handling Missing Data in Longitudinal Studies with Refreshment Samples awarded by National Science Foundation 2011 - 2014
- Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation awarded by National Institutes of Health 2009 - 2012
- MMS: Methodology for Improving Public Use Data Dissemination Via Multiply-Imputer, Partially Synthetic Data awarded by National Science Foundation 2008 - 2011
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External Relationships
- U.S. Bureau of the Census
- Publications & Artistic Works
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Selected Publications
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Books
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Chun, A. Y., M. D. Larsen, G. Durrant, and J. P. Reiter. Administrative Records for Survey Methodology, 2021. https://doi.org/10.1002/9781119272076.Full Text
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Chun, A. Y., M. D. Larsen, G. Durrant, and J. P. Reiter. Preface, 2021. https://doi.org/10.1002/9781119272076.fmatter.Full Text
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Academic Articles
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Reiter, J. P. “Synthetic Data: A Look Back and A Look Forward.” Transactions on Data Privacy 16, no. 1 (January 1, 2023): 15–24.
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Guha, Sharmistha, Jerome P. Reiter, and Andrea Mercatanti. “Bayesian Causal Inference with Bipartite Record Linkage.” Bayesian Analysis 17, no. 4 (December 1, 2022). https://doi.org/10.1214/21-ba1297.Full Text
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Nixon, M. P., A. F. Barrientos, J. P. Reiter, and A. Slavkovic. “A LATENT CLASS MODELING APPROACH FOR GENERATING SYNTHETIC DATA AND MAKING POSTERIOR INFERENCES FROM DIFFERENTIALLY PRIVATE COUNTS.” Journal of Privacy and Confidentiality 12, no. 1 (July 29, 2022). https://doi.org/10.29012/jpc.768.Full Text
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Li, L., and J. P. Reiter. “Bayesian Inference for Estimating Subset Proportions using Differentially Private Counts.” Journal of Survey Statistics and Methodology 10, no. 3 (June 1, 2022): 785–803. https://doi.org/10.1093/jssam/smab060.Full Text
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Liu, B., and J. P. Reiter. “Multiple Imputation Inference with Integer-Valued Point Estimates.” American Statistician 76, no. 4 (January 1, 2022): 323–28. https://doi.org/10.1080/00031305.2021.2006780.Full Text
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Akande, Olanrewaju, Gabriel Madson, D Sunshine Hillygus, and Jerome P. Reiter. “Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse.” Journal of the Royal Statistical Society. Series A, (Statistics in Society) 184, no. 2 (April 2021): 643–62. https://doi.org/10.1111/rssa.12635.Full Text
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Wang, Z., and J. P. Reiter. “Post-processing differentially private counts to satisfy additive constraints.” Transactions on Data Privacy 14, no. 2 (April 1, 2021): 65–77.
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Kamat, G., and J. P. Reiter. “Leveraging random assignment to impute missing covariates in causal studies.” Journal of Statistical Computation and Simulation 91, no. 7 (January 1, 2021): 1275–1305. https://doi.org/10.1080/00949655.2020.1849217.Full Text
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DeYoreo, M., and J. P. Reiter. “Bayesian Mixture Modeling for Multivariate Conditional Distributions.” Journal of Statistical Theory and Practice 14, no. 3 (September 1, 2020). https://doi.org/10.1007/s42519-020-00109-4.Full Text
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Lott, A., and J. P. Reiter. “Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data.” American Statistician 74, no. 2 (April 2, 2020): 109–15. https://doi.org/10.1080/00031305.2018.1473796.Full Text
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Kaufman, Brystana G., David Klemish, Andrew Olson, Cordt T. Kassner, Jerome P. Reiter, Matthew Harker, Laura Sheble, Benjamin A. Goldstein, Donald H. Taylor, and Nrupen A. Bhavsar. “Use of Hospital Referral Regions in Evaluating End-of-Life Care.” J Palliat Med 23, no. 1 (January 2020): 90–96. https://doi.org/10.1089/jpm.2019.0056.Full Text Link to Item
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Sadinle, M., and J. P. Reiter. “Sequentially additive nonignorable missing data modelling using auxiliary marginal information.” Biometrika 106, no. 4 (December 1, 2019): 889–911. https://doi.org/10.1093/biomet/asz054.Full Text
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Weinberg, D. H., J. M. Abowd, R. F. Belli, N. Cressie, D. C. Folch, S. H. Holan, M. C. Levenstein, et al. “Effects of a Government-Academic Partnership: Has the NSF-CENSUS Bureau Research Network Helped Improve the US Statistical System?” Journal of Survey Statistics and Methodology 7, no. 4 (December 1, 2019): 589–609. https://doi.org/10.1093/jssam/smy023.Full Text
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Akande, O., J. Reiter, and A. F. Barrientos. “Imputation multiple de valeurs manquantes dans des données des ménages contenant des zéros structurels.” Survey Methodology 45, no. 2 (June 1, 2019): 289–315.
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Schifeling, T., J. P. Reiter, and M. Deyoreo. “Data fusion for correcting measurement errors.” Journal of Survey Statistics and Methodology 7, no. 2 (June 1, 2019): 175–200. https://doi.org/10.1093/jssam/smy010.Full Text
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Reiter, J. P. “Differential privacy and federal data releases.” Annual Review of Statistics and Its Application 6 (March 7, 2019): 85–101. https://doi.org/10.1146/annurev-statistics-030718-105142.Full Text
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Yu, H., and J. P. Reiter. “Differentially private verification of regression predictions from synthetic data.” Transactions on Data Privacy 11, no. 3 (December 1, 2018): 279–97.
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Dalzell, N. M., and J. P. Reiter. “Regression Modeling and File Matching Using Possibly Erroneous Matching Variables.” Journal of Computational and Graphical Statistics 27, no. 4 (October 2, 2018): 728–38. https://doi.org/10.1080/10618600.2018.1458624.Full Text
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Sadinle, M., and J. P. Reiter. “Sequential identification of nonignorable missing data mechanisms.” Statistica Sinica 28, no. 4 (October 1, 2018): 1741–59. https://doi.org/10.5705/ss.202016.0328.Full Text
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Wortman, Joan Heck, and Jerome P. Reiter. “Simultaneous record linkage and causal inference with propensity score subclassification.” Statistics in Medicine 37, no. 24 (October 2018): 3533–46. https://doi.org/10.1002/sim.7911.Full Text
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Kaufman, Brystana G., David Klemish, Cordt T. Kassner, Jerome P. Reiter, Fan Li, Matthew Harker, Emily C. O’Brien, Donald H. Taylor, and Nrupen A. Bhavsar. “Predicting Length of Hospice Stay: An Application of Quantile Regression.” J Palliat Med 21, no. 8 (August 2018): 1131–36. https://doi.org/10.1089/jpm.2018.0039.Full Text Link to Item
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White, K. K., J. P. Reiter, and A. Petrin. “Imputation in U.S. manufacturing data and its implications for productivity dispersion.” Review of Economics and Statistics 100, no. 3 (July 1, 2018): 502–9. https://doi.org/10.1162/rest_a_00678.Full Text
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Josse, J., and J. P. Reiter. “Introduction to the special section on missing data.” Statistical Science 33, no. 2 (May 1, 2018): 139–41. https://doi.org/10.1214/18-STS332IN.Full Text
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Wei, L., and J. P. Reiter. “Improving Bayesian mixture models for multiple imputation of missing data using focused clustering.” Revstat Statistical Journal 16, no. 2 (April 1, 2018): 213–30.
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Burris, Kyle, Kelly Vittetoe, Benjamin Ramger, Sunith Suresh, Surya T. Tokdar, Jerome P. Reiter, and L Gregory Appelbaum. “Sensorimotor abilities predict on-field performance in professional baseball.” Sci Rep 8, no. 1 (January 8, 2018): 116. https://doi.org/10.1038/s41598-017-18565-7.Full Text Open Access Copy Link to Item
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Kim, H. J., J. P. Reiter, and A. F. Karr. “Simultaneous edit-imputation and disclosure limitation for business establishment data.” Journal of Applied Statistics 45, no. 1 (January 2, 2018): 63–82. https://doi.org/10.1080/02664763.2016.1267123.Full Text
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Hu, J., J. P. Reiter, and Q. Wang. “Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data.” Bayesian Analysis 13, no. 1 (January 1, 2018): 183–200. https://doi.org/10.1214/16-BA1047.Full Text
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Chen, Y., A. F. Barrientos, A. Machanavajjhala, and J. P. Reiter. “Is my model any good: differentially private regression diagnostics.” Knowledge and Information Systems 54, no. 1 (January 1, 2018): 33–64. https://doi.org/10.1007/s10115-017-1128-z.Full Text
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Klemish, David, Benjamin Ramger, Kelly Vittetoe, Jerome P. Reiter, Surya T. Tokdar, and Lawrence Gregory Appelbaum. “Visual abilities distinguish pitchers from hitters in professional baseball.” J Sports Sci 36, no. 2 (January 2018): 171–79. https://doi.org/10.1080/02640414.2017.1288296.Full Text Open Access Copy Link to Item
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Dalzell, N. M., G. A. Boyd, and J. P. Reiter. “Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program.” Energy Policy 111 (December 1, 2017): 95–101. https://doi.org/10.1016/j.enpol.2017.09.013.Full Text Open Access Copy
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Manrique-Vallier, D., and J. P. Reiter. “Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data.” Journal of the American Statistical Association 112, no. 520 (October 2, 2017): 1708–19. https://doi.org/10.1080/01621459.2016.1231612.Full Text
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Banks, D., and V. Peña. “Discussion.” Statistica Sinica 27, no. 4 (October 1, 2017): 1554–58. https://doi.org/10.5705/ss.2014.067.Full Text
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Reiter, Jerome P. “GOD, DEVIL AND GURU IN THE LAND OF MULTIPLE IMPUTATION DISCUSSION.” Statistica Sinica 27, no. 4 (October 1, 2017): 1578–83.Link to Item
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Paiva, T., and J. P. Reiter. “Stop or continue data collection: A nonignorable missing data approach for continuous variables.” Journal of Official Statistics 33, no. 3 (September 1, 2017): 579–99. https://doi.org/10.1515/JOS-2017-0028.Full Text
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Yu, Mandi, Jerome Phillip Reiter, Li Zhu, Benmei Liu, Kathleen A. Cronin, and Eric J Rocky Feuer. “Protecting Confidentiality in Cancer Registry Data With Geographic Identifiers.” American Journal of Epidemiology 186, no. 1 (July 2017): 83–91. https://doi.org/10.1093/aje/kwx050.Full Text
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Barrientos, Andrés, Alexander Bolton, Tom Balmat, Jerome Reiter, John M. de Figueiredo, Ashwin Machanavajjhala, Yan Chen, Charles Kneifel, and Mark DeLong. “A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government,” June 2017.
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Akande, O., F. Li, and J. Reiter. “An Empirical Comparison of Multiple Imputation Methods for Categorical Data.” American Statistician 71, no. 2 (April 3, 2017): 162–70. https://doi.org/10.1080/00031305.2016.1277158.Full Text Open Access Copy
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Sadinle, M., and J. P. Reiter. “Itemwise conditionally independent nonresponse modelling for incomplete multivariate data.” Biometrika 104, no. 1 (March 1, 2017): 207–20. https://doi.org/10.1093/biomet/asw063.Full Text
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DeYoreo, M., J. P. Reiter, and D. S. Hillygus. “Bayesian mixture models with focused clustering for mixed ordinal and nominal data.” Bayesian Analysis 12, no. 3 (January 1, 2017): 679–703. https://doi.org/10.1214/16-BA1020.Full Text
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Fosdick, B. K., M. Deyoreo, and J. P. Reiter. “Categorical data fusion using auxiliary information.” Annals of Applied Statistics 10, no. 4 (December 1, 2016): 1907–29. https://doi.org/10.1214/16-AOAS925.Full Text
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Murray, J. S., and J. P. Reiter. “Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence.” Journal of the American Statistical Association 111, no. 516 (October 1, 2016): 1466–79. https://doi.org/10.1080/01621459.2016.1174132.Full Text
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Schifeling, T. A., and J. P. Reiter. “Incorporating marginal prior information in latent class models.” Bayesian Analysis 11, no. 2 (June 1, 2016): 499–518. https://doi.org/10.1214/15-BA959.Full Text
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Si, Y., J. P. Reiter, and D. S. Hillygus. “Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples.” Annals of Applied Statistics 10, no. 1 (March 1, 2016): 118–43. https://doi.org/10.1214/15-AOAS876.Full Text Open Access Copy
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McClure, D., and J. P. Reiter. “Assessing disclosure risks for synthetic data with arbitrary intruder knowledge.” Statistical Journal of the Iaos 32, no. 1 (February 27, 2016): 109–26. https://doi.org/10.3233/SJI-160957.Full Text
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Vilhuber, L., J. M. Abowd, and J. P. Reiter. “Synthetic establishment microdata around the world.” Statistical Journal of the Iaos 32, no. 1 (February 27, 2016): 65–68. https://doi.org/10.3233/SJI-160964.Full Text
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Wei, L., and J. P. Reiter. “Releasing synthetic magnitude microdata constrained to fixed marginal totals.” Statistical Journal of the Iaos 32, no. 1 (February 27, 2016): 93–108. https://doi.org/10.3233/SJI-160959.Full Text
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Si, Yajuan, Jerome P. Reiter, and D Sunshine Hillygus. “Semi-parametric Selection Models for Potentially Non-ignorable Attrition in Panel Studies with Refreshment Samples.” Political Analysis 23, no. 01 (December 2015): 92–112.
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Quick, H., S. H. Holan, C. K. Wikle, and J. P. Reiter. “Bayesian marked point process modeling for generating fully synthetic public use data with point-referenced geography.” Spatial Statistics 14 (November 1, 2015): 439–51. https://doi.org/10.1016/j.spasta.2015.07.008.Full Text
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Siddique, Juned, Jerome P. Reiter, Ahnalee Brincks, Robert D. Gibbons, Catherine M. Crespi, and C Hendricks Brown. “Multiple imputation for harmonizing longitudinal non-commensurate measures in individual participant data meta-analysis.” Statistics in Medicine 34, no. 26 (November 2015): 3399–3414. https://doi.org/10.1002/sim.6562.Full Text
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Schifeling, T. A., C. Cheng, J. P. Reiter, and D. S. Hillygus. “Accounting for nonignorable unit nonresponse and attrition in panel studies with refreshment samples.” Journal of Survey Statistics and Methodology 3, no. 3 (September 1, 2015): 265–95. https://doi.org/10.1093/jssam/smv007.Full Text
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Kim, H. J., L. H. Cox, A. F. Karr, J. P. Reiter, and Q. Wang. “Simultaneous Edit-Imputation for Continuous Microdata.” Journal of the American Statistical Association 110, no. 511 (July 3, 2015): 987–99. https://doi.org/10.1080/01621459.2015.1040881.Full Text
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Kim, H. J., A. F. Karr, and J. P. Reiter. “Statistical disclosure limitation in the presence of edit rules.” Journal of Official Statistics 31, no. 1 (March 1, 2015): 121–38. https://doi.org/10.1515/JOS-2015-0006.Full Text
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Carrig, Madeline M., Daniel Manrique-Vallier, Krista W. Ranby, Jerome P. Reiter, and Rick H. Hoyle. “A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets.” Multivariate Behavioral Research 50, no. 4 (January 2015): 383–97. https://doi.org/10.1080/00273171.2015.1022641.Full Text
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Si, Y., J. P. Reiter, and D. S. Hillygus. “Semi-parametric selection models for potentially non-ignorable attrition in panel studies with refreshment samples.” Political Analysis 23, no. 1 (January 1, 2015): 92–112. https://doi.org/10.1093/pan/mpu009.Full Text
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Manrique-Vallier, D., and J. P. Reiter. “Bayesian Estimation of Discrete Multivariate Latent Structure Models With Structural Zeros.” Journal of Computational and Graphical Statistics 23, no. 4 (October 25, 2014): 1061–79. https://doi.org/10.1080/10618600.2013.844700.Full Text
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Grochowski, Colleen O’Connor, Matt Cartmill, Jerry Reiter, Jean Spaulding, James Haviland, Fidel Valea, Patricia L. Thibodeau, Stacey McCorison, and Edward C. Halperin. “Anxiety in first year medical students taking gross anatomy.” Clinical Anatomy (New York, N.Y.) 27, no. 6 (September 2014): 835–38. https://doi.org/10.1002/ca.22398.Full Text
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Paiva, Thais, and Jerome Reiter. “Using Imputation Techniques to Evaluate Stopping Rules in Adaptive Survey Designs,” September 1, 2014.
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Kim, H. J., J. P. Reiter, Q. Wang, L. H. Cox, and A. F. Karr. “Multiple Imputation of Missing or Faulty Values Under Linear Constraints.” Journal of Business and Economic Statistics 32, no. 3 (July 3, 2014): 375–86. https://doi.org/10.1080/07350015.2014.885435.Full Text
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Paiva, Thais, Avishek Chakraborty, Jerry Reiter, and Alan Gelfand. “Imputation of confidential data sets with spatial locations using disease mapping models.” Statistics in Medicine 33, no. 11 (May 2014): 1928–45. https://doi.org/10.1002/sim.6078.Full Text
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Godin, Elizabeth A., Nicole Kwiek, Suzanne S. Sikes, Myra J. Halpin, Carolyn A. Weinbaum, Lane F. Burgette, Jerome P. Reiter, and Rochelle D. Schwartz-Bloom. “Alcohol Pharmacology Education Partnership: Using Chemistry and Biology Concepts To Educate High School Students about Alcohol.” J Chem Educ 91, no. 2 (February 11, 2014): 165–72. https://doi.org/10.1021/ed4000958.Full Text Link to Item
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Kinney, Satkartar K., Jerome Reiter, and Javier Miranda. “Improving the Synthetic Longitudinal Business Database,” February 1, 2014.
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Hu, J., J. P. Reiter, and Q. Wang. “Disclosure risk evaluation for fully synthetic categorical data.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8744 (January 1, 2014): 185–99.
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Kinney, S. K., J. P. Reiter, and J. Miranda. “SynLBD 2.0: Improving the synthetic Longitudinal Business Database.” Statistical Journal of the Iaos 30, no. 2 (January 1, 2014): 129–35. https://doi.org/10.3233/SJI-140808.Full Text
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Manrique-Vallier, D., and J. P. Reiter. “Bayesian multiple imputation for large-scale categorical data with structural zeros.” Survey Methodology 40, no. 1 (January 1, 2014): 125–34.
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Hu, J., R. Mitra, and J. Reiter. “Are independent parameter draws necessary for multiple imputation?” American Statistician 67, no. 3 (December 17, 2013): 143–49. https://doi.org/10.1080/00031305.2013.821953.Full Text
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Si, Yajuan, and Jerome P. Reiter. “Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys.” Journal of Educational and Behavioral Statistics 38, no. 5 (October 2013): 499–521.
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Burgette, Lane F., and Jerome P. Reiter. “Multiple-Shrinkage Multinomial Probit Models with Applications to Simulating Geographies in Public Use Data.” Bayesian Analysis 8, no. 2 (June 2013). https://doi.org/10.1214/13-ba816.Full Text
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Deng, Y., D. S. Hillygus, J. P. Reiter, Y. Si, and S. Zheng. “Handling attrition in longitudinal studies: The case for refreshment samples.” Statistical Science 28, no. 2 (May 1, 2013): 238–56. https://doi.org/10.1214/13-STS414.Full Text
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Ghosh, J., and J. P. Reiter. “Secure Bayesian model averaging for horizontally partitioned data.” Statistics and Computing 23, no. 3 (May 1, 2013): 311–22. https://doi.org/10.1007/s11222-011-9312-6.Full Text
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Si, Y., and J. P. Reiter. “Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys.” Journal of Educational and Behavioral Statistics 38, no. 5 (January 1, 2013): 499–521. https://doi.org/10.3102/1076998613480394.Full Text
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Manrique-Vallier, Daniel, and Jerome P. Reiter. “Estimating Identification Disclosure Risk Using Mixed Membership Models.” Journal of the American Statistical Association 107, no. 500 (December 2012): 1385–94. https://doi.org/10.1080/01621459.2012.710508.Full Text
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McClure, D., and J. P. Reiter. “Differential privacy and statistical disclosure risk measures: An investigation with binary synthetic data.” Transactions on Data Privacy 5, no. 3 (December 1, 2012): 535–52.
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Reiter, J. P. “Discussion.” International Statistical Review 80, no. 3 (December 1, 2012): 373–75. https://doi.org/10.1111/j.1751-5823.2012.00191.x.Full Text
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Burgette, L. F., and J. P. Reiter. “Nonparametric Bayesian multiple imputation for missing data due to mid-study switching of measurement methods.” Journal of the American Statistical Association 107, no. 498 (August 2, 2012): 439–49. https://doi.org/10.1080/01621459.2011.643713.Full Text
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Drechsler, J., and J. P. Reiter. “Combining synthetic data with subsampling to create public use microdata files for large scale surveys.” Survey Methodology 38, no. 1 (June 1, 2012): 73–79.
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Schwartz, Scott, Fan Li, and Jerome P. Reiter. “Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables.” Statistics in Medicine 31, no. 10 (May 2012): 949–62. https://doi.org/10.1002/sim.4472.Full Text
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Reiter, J. P. “Bayesian finite population imputation for data fusion.” Statistica Sinica 22, no. 2 (April 1, 2012): 795–811. https://doi.org/10.5705/ss.2010.140.Full Text
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Burgette, Lane F., and Jerome P. Reiter. “Modeling adverse birth outcomes via confirmatory factor quantile regression.” Biometrics 68, no. 1 (March 2012): 92–100. https://doi.org/10.1111/j.1541-0420.2011.01639.x.Full Text
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Reiter, J. P. “Research synthesis: Statistical approaches to protecting confidentiality for microdata and their effects on the quality of statistical inferences.” Public Opinion Quarterly 76, no. 1 (March 1, 2012): 163–81. https://doi.org/10.1093/poq/nfr058.Full Text
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White, Kirk, Jerome Reiter, and Amil Petrin. “Plant-Level Productivity and Imputation of Missing Data in U.S. Census Manufacturing Data,” February 2012.
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McClure, D., and J. P. Reiter. “Towards providing automated feedback on the quality of inferences from synthetic datasets.” Journal of Privacy and Confidentiality 4, no. 1 (2012): Article8.
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Mitra, R., and J. P. Reiter. “A comparison of two methods of estimating propensity scores after multiple imputation (Accepted).” Statistical Methods in Medical Research, 2012.
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Reiter, J. P. “Protecting Data Confidentiality in Publicly Released Datasets: Approaches Based on Multiple Imputation” 28 (January 1, 2012): 533–45. https://doi.org/10.1016/B978-0-44-451875-0.00020-8.Full Text
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Orr, Suezanne T., Jerome P. Reiter, Sherman A. James, and Caroline A. Orr. “Maternal health prior to pregnancy and preterm birth among urban, low income black women in Baltimore: the Baltimore Preterm Birth Study.” Ethnicity & Disease 22, no. 1 (January 2012): 85–89.
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Reiter, J. P., and S. K. Kinney. “Inferentially valid, partially synthetic data: Generating from posterior predictive distributions not necessary (Accepted).” Journal of Official Statistics, 2012.
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Si, Y., and J. P. Reiter. “Nonparametric Bayesian multiple imputation of categorical variables in large scale educational assessment surveys (Accepted).” Journal of Educational and Behavioral Statistics, 2012.
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Wang, H., and J. P. Reiter. “Multiple imputation for sharing precise geographies in public use data.” Annals of Applied Statistics 6 (2012): 229–52.
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Drechsler, J., and J. P. Reiter. “An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets.” Computational Statistics and Data Analysis 55, no. 12 (December 1, 2011): 3232–43. https://doi.org/10.1016/j.csda.2011.06.006.Full Text
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Kinney, S. K., J. P. Reiter, A. P. Reznek, J. Miranda, R. S. Jarmin, and J. M. Abowd. “Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database.” International Statistical Review 79, no. 3 (December 1, 2011): 362–84. https://doi.org/10.1111/j.1751-5823.2011.00153.x.Full Text
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Reiter, J. P. “Data confidentiality.” Wiley Interdisciplinary Reviews: Computational Statistics 3, no. 5 (September 1, 2011): 450–56. https://doi.org/10.1002/wics.174.Full Text
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Reiter, Jerome P., and Satkartar K. Kinney. “Sharing confidential data for research purposes: a primer.” Epidemiology (Cambridge, Mass.) 22, no. 5 (September 2011): 632–35. https://doi.org/10.1097/ede.0b013e318225c44b.Full Text
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Schwartz-Bloom, Rochelle D., Myra J. Halpin, and Jerome P. Reiter. “Teaching High School Chemistry in the Context of Pharmacology Helps Both Teachers and Students Learn.” J Chem Educ 88, no. 6 (June 1, 2011): 744–50. https://doi.org/10.1021/ed100097y.Full Text Link to Item
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Si, Y., and J. P. Reiter. “A comparison of posterior simulation and inference by combining rules for multiple imputation.” Journal of Statistical Theory and Practice 5, no. 2 (June 1, 2011): 335–47. https://doi.org/10.1080/15598608.2011.10412032.Full Text
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Mitra, Robin, and Jerome P. Reiter. “Estimating propensity scores with missing covariate data using general location mixture models.” Statistics in Medicine 30, no. 6 (March 2011): 627–41. https://doi.org/10.1002/sim.4124.Full Text
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Petrin, A., T. K. White, and J. P. Reiter. “The impact of plant-level resource reallocations and technical progress on U.S. macroeconomic growth.” Review of Economic Dynamics 14, no. 1 (January 1, 2011): 3–26. https://doi.org/10.1016/j.red.2010.09.004.Full Text
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Petrin, Amil, Kirk White, and Jerome Reiter. “The Impact of Plant-Level Resource Reallocations and Technical Progress on U.S. Macroeconomic Growth,” January 2011.
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Schwartz, S. L., F. Li, and J. P. Reiter. “Sensitivity analysis for unmeasured confounding in principal stratification.” Statistics in Medicine in press (2011).
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White, Kirk, Jerome Reiter, and Amil Petrin. “Plant-Level Productivity and Imputation of Missing Data in the Census of Manufactures,” January 1, 2011.
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Burgette, L. F., J. P. Reiter, and M. L. Miranda. “Exploratory quantile regression with many covariates: An application to adverse birth outcomes.” Epidemiology 22 (2011): 859–66.
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Kinney, S. K., J. P. Reiter, A. P. Reznek, J. Miranda, R. S. Jarmin, and J. M. Abowd. “Towards unrestricted public use business microdata: The synthetic Longitudinal Business Database.” International Statistical Review 79 (2011): 363–84.
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Reiter, J. P., and S. K. Kinney. “Sharing confidential data for research purposes: A primer [invited commentary].” Epidemiology 22 (2011): 632–35.
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Drechsler, J., and J. P. Reiter. “Sampling with synthesis: A new approach for releasing public use census microdata.” Journal of the American Statistical Association 105, no. 492 (December 1, 2010): 1347–57. https://doi.org/10.1198/jasa.2010.ap09480.Full Text
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Burgette, Lane F., and Jerome P. Reiter. “Multiple imputation for missing data via sequential regression trees.” American Journal of Epidemiology 172, no. 9 (November 2010): 1070–76. https://doi.org/10.1093/aje/kwq260.Full Text
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Zhou, X., and J. P. Reiter. “A note on Bayesian inference after multiple imputation.” American Statistician 64, no. 2 (May 1, 2010): 159–63. https://doi.org/10.1198/tast.2010.09109.Full Text Open Access Copy
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Caiola, G., and J. P. Reiter. “Random forests for generating partially synthetic, categorical data.” Transactions on Data Privacy 3, no. 1 (April 1, 2010): 27–42.
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Kinney, S., J. P. Reiter, and J. O. Berger. “Model selection when multiple imputation is used to protect confidentiality in public use data.” Journal of Privacy and Confidentiality 2, no. 2 (2010): Article2.
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Reiter, J. P. “Multiple imputation for disclosure limitation: Future research challenges.” Journal of Privacy and Confidentiality 1, no. 2 (2010): Article7.
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Reiter, J. P., and J. Drechsler. “Two stage multiple imputation to protect confidentiality.” Statistica Sinica 20 (2010): 405–22.
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Reiter, J. P., and J. Drechsler. “Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality.” Statistica Sinica 20, no. 1 (January 1, 2010): 405–21.Open Access Copy
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Drechsler, J., and J. P. Reiter. “Sampling with synthesis: A new approach for creating public use census microdata.” Journal of the American Statistical Association 105 (2010): 1323–32.
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Kinney, S. K., and J. P. Reiter. “Tests of multivariate hypotheses when using multiple imputation for missing data and partial synthesis.” Journal of Official Statistics 26 (2010): 301–15.
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Drechsler, J., and J. P. Reiter. “Disclosure risk and data utility for partially synthetic data: An empirical study using the german IAB establishment survey.” Journal of Official Statistics 25, no. 4 (December 1, 2009): 589–603.
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Miranda, Marie Lynn, Dohyeong Kim, Jerome Reiter, M Alicia Overstreet Galeano, and Pamela Maxson. “Environmental contributors to the achievement gap.” Neurotoxicology 30, no. 6 (November 2009): 1019–24. https://doi.org/10.1016/j.neuro.2009.07.012.Full Text
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Reiter, J. P. “Using multiple imputation to integrate and disseminate confidential microdata.” International Statistical Review 77, no. 2 (August 1, 2009): 179–95. https://doi.org/10.1111/j.1751-5823.2009.00083.x.Full Text
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Kohnen, C. N., and J. P. Reiter. “Multiple imputation for combining confidential data owned by two agencies.” Journal of the Royal Statistical Society. Series A: Statistics in Society 172, no. 2 (April 1, 2009): 511–28. https://doi.org/10.1111/j.1467-985X.2008.00574.x.Full Text
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Karr, A. F., X. Lin, A. P. Sanil, and J. P. Reiter. “Privacy-preserving analysis of vertically partitioned data using secure matrix products.” Journal of Official Statistics 25, no. 1 (March 1, 2009): 125–38.
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Reiter, J. P., A. Oganian, and A. F. Karr. “Verification servers: Enabling analysts to assess the quality of inferences from public use data.” Computational Statistics and Data Analysis 53, no. 4 (February 15, 2009): 1475–82. https://doi.org/10.1016/j.csda.2008.10.006.Full Text
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Marchenko, Y. V., and J. P. Reiter. “Improved degrees of freedom for multivariate significance tests obtained from multiply imputed, small-sample data.” Stata Journal 9, no. 3 (January 1, 2009): 388–97. https://doi.org/10.1177/1536867x0900900303.Full Text
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Reiter, J. P. “Using multiple imputation for data integration and dissemination.” International Statistical Review 77 (2009): 179–95.
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Woo, M., J. P. Reiter, A. Oganian, and A. F. Karr. “Global measures of data utility for microdata masked for disclosure limitation.” Journal of Privacy and Confidentiality 1, no. 1 (2009): 111–24.
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Kinney, S. K., and J. P. Reiter. “Inferences for two stage multiple imputation for nonresponse.” Journal of Statistical Theory and Practice 3 (2009): 307–18.
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Reiter, J. P. “Multiple imputation when records used for imputation are not used or disseminated for analysis.” Biometrika 95, no. 4 (December 1, 2008): 933–46. https://doi.org/10.1093/biomet/asn042.Full Text
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Montgomery, J. M., A. Cooper, J. Reiter, and S. Guan. “Nonresponse bias on dimensions of political activity amongst political elites.” International Journal of Public Opinion Research 20, no. 4 (November 1, 2008): 494–506. https://doi.org/10.1093/ijpor/edn041.Full Text
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Woo, Mi-Ja, Jerome P. Reiter, and Alan F. Karr. “Estimation of propensity scores using generalized additive models.” Statistics in Medicine 27, no. 19 (August 2008): 3805–16. https://doi.org/10.1002/sim.3278.Full Text
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Orr, Suezanne T., Sherman A. James, and Jerome P. Reiter. “Unintended pregnancy and prenatal behaviors among urban, black women in Baltimore, Maryland: the Baltimore preterm birth study.” Annals of Epidemiology 18, no. 7 (July 2008): 545–51. https://doi.org/10.1016/j.annepidem.2008.03.005.Full Text
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Drechsler, J., and J. P. Reiter. “Accounting for intruder uncertainty due to sampling when estimating identification disclosure risks in partially synthetic data.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5262 LNCS (January 1, 2008): 227–38. https://doi.org/10.1007/978-3-540-87471-3_19.Full Text
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Montgomery, J. M., A. Cooper, J. P. Reiter, and S. Guan. “A comparison of respondents and non-respondents on dimensions of political activity.” International Journal of Public Opinion Research 20 (2008): 494–506.
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Reiter, J. P. “Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation.” Statistics and Probability Letters 78, no. 1 (January 1, 2008): 15–20. https://doi.org/10.1016/j.spl.2007.04.020.Full Text
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Reiter, J. P. “Statistics in sports: Current and future research trends.” Stator 9, no. 2 (2008): 4–7.
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Woo, M. J., J. P. Reiter, and A. F. Karr. “Estimation of propensity scores using generalized additive models.” Statistics in Medicine 27 (2008): 3806–16.
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Reiter, J. P., and T. E. Raghunathan. “The multiple adaptations of multiple imputation.” Journal of the American Statistical Association 102, no. 480 (December 1, 2007): 1462–71. https://doi.org/10.1198/016214507000000932.Full Text
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Kwiek, Nicole C., Myra J. Halpin, Jerome P. Reiter, Leanne A. Hoeffler, and Rochelle D. Schwartz-Bloom. “Relevance. Pharmacology in the high-school classroom.” Science 317, no. 5846 (September 28, 2007): 1871–72. https://doi.org/10.1126/science.1146811.Full Text Link to Item
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Ghosh, J., J. P. Reiter, and A. F. Karr. “Secure computation with horizontally partitioned data using adaptive regression splines.” Computational Statistics and Data Analysis 51, no. 12 (August 15, 2007): 5813–20. https://doi.org/10.1016/j.csda.2006.10.013.Full Text
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Karr, A. F., W. J. Fulp, F. Vera, S. S. Young, X. Lin, and J. P. Reiter. “Secure, privacy-preserving analysis of distributed databases.” Technometrics 49, no. 3 (August 1, 2007): 335–45. https://doi.org/10.1198/004017007000000209.Full Text
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Gu, Baojun, Karl B. Thor, Jerome P. Reiter, and Paul C. Dolber. “Effect of 5-hydroxytryptamine1 serotonin receptor agonists on noxiously stimulated micturition in cats with chronic spinal cord injury.” The Journal of Urology 177, no. 6 (June 2007): 2381–85. https://doi.org/10.1016/j.juro.2007.01.110.Full Text
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Reiter, J. P. “Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data.” Biometrika 94, no. 2 (June 1, 2007): 502–8. https://doi.org/10.1093/biomet/asm028.Full Text
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Orr, Suezanne T., Dan G. Blazer, Sherman A. James, and Jerome P. Reiter. “Depressive symptoms and indicators of maternal health status during pregnancy.” J Womens Health (Larchmt) 16, no. 4 (May 2007): 535–42. https://doi.org/10.1089/jwh.2006.0116.Full Text Link to Item
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Dolber, Paul C., Baojun Gu, Xiaoyang Zhang, Matthew O. Fraser, Karl B. Thor, and Jerome P. Reiter. “Activation of the external urethral sphincter central pattern generator by a 5-HT(1A) receptor agonist in rats with chronic spinal cord injury.” Am J Physiol Regul Integr Comp Physiol 292, no. 4 (April 2007): R1699–1706. https://doi.org/10.1152/ajpregu.00142.2006.Full Text Link to Item
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Kwiek, N. C., M. J. Halpin, J. P. Reiter, L. A. Hoeffler, and R. D. Schwartz Bloom. “Pharmacology in the high school classroom.” Science 317, no. Sept. 28 (2007): 1871–72.
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Reiter, J. P., and R. Mitra. “Estimating risks of identification disclosure in partially synthetic data (Accepted).” Journal of Privacy and Confidentiality, 2007.
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Orr, S. T., D. Blazer, S. A. James, and J. P. Reiter. “Depressive symptoms and maternal health during pregnancy.” Journal of Women’S Health 16 (2007): 535–42.
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Orr, Suezanne T., Jerome P. Reiter, Dan G. Blazer, and Sherman A. James. “Maternal prenatal pregnancy-related anxiety and spontaneous preterm birth in Baltimore, Maryland.” Psychosom Med 69, no. 6 (2007): 566–70. https://doi.org/10.1097/PSY.0b013e3180cac25d.Full Text Link to Item
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Karr, A. F., X. Lin, A. P. Sanil, and J. P. Reiter. “Secure statistical analysis of distributed databases,” December 1, 2006, 237–61. https://doi.org/10.1007/0-387-35209-0_14.Full Text
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Karr, A. F., C. N. Kohnen, A. Oganian, J. P. Reiter, and A. P. Sanil. “A framework for evaluating the utility of data altered to protect confidentiality.” American Statistician 60, no. 3 (August 1, 2006): 224–32. https://doi.org/10.1198/000313006X124640.Full Text
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Hill, Jennifer, and Jerome P. Reiter. “Interval estimation for treatment effects using propensity score matching.” Statistics in Medicine 25, no. 13 (July 2006): 2230–56. https://doi.org/10.1002/sim.2277.Full Text
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Reiter, J. P., T. E. Raghunathan, and S. K. Kinney. “The importance of modeling the sampling design in multiple imputation for missing data.” Survey Methodology 32, no. 2 (2006): 143–50.
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Reiter, J. P. “Estimating risks of identification disclosure in microdata.” Journal of the American Statistical Association 100, no. 472 (December 1, 2005): 1103–12. https://doi.org/10.1198/016214505000000619.Full Text
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Reiter, J. P., and C. N. Kohnen. “Categorical data regression diagnostics for remote access servers.” Journal of Statistical Computation and Simulation 75, no. 11 (November 1, 2005): 889–903. https://doi.org/10.1080/00949650412331299184.Full Text
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Karr, Alan F., Jun Feng, Xiaodong Lin, Ashish P. Sanil, S Stanley Young, and Jerome P. Reiter. “Secure analysis of distributed chemical databases without data integration.” Journal of Computer Aided Molecular Design 19, no. 9–10 (September 2005): 739–47. https://doi.org/10.1007/s10822-005-9011-5.Full Text
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Karr, A. F., X. Lin, A. P. Sanil, and J. P. Reiter. “Secure regression on distributed databases.” Journal of Computational and Graphical Statistics 14, no. 2 (June 1, 2005): 263–79. https://doi.org/10.1198/106186005X47714.Full Text
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Gomatam, S., A. F. Karr, J. P. Reiter, and A. P. Sanil. “Data dissemination and disclosure limitation in a world without microdata: A risk-utility framework for remote access analysis servers.” Statistical Science 20, no. 2 (May 1, 2005): 163–77. https://doi.org/10.1214/088342305000000043.Full Text
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Reiter, J. P. “Significance tests for multi-component estimands from multiply imputed, synthetic microdata.” Journal of Statistical Planning and Inference 131, no. 2 (May 1, 2005): 365–77. https://doi.org/10.1016/j.jspi.2004.02.003.Full Text
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Reiter, J. P. “Releasing multiply imputed, synthetic public use microdata: An illustration and empirical study.” Journal of the Royal Statistical Society. Series A: Statistics in Society 168, no. 1 (February 8, 2005): 185–205. https://doi.org/10.1111/j.1467-985X.2004.00343.x.Full Text
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Reiter, J. P., E. L. Zanutto, and L. W. Hunter. “Analytical modeling in complex surveys of work practices.” Industrial and Labor Relations Review 59, no. 1 (January 1, 2005): 82–100. https://doi.org/10.1177/001979390505900105.Full Text
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Gu, Baojun, Kenneth J. Olejar, Jerome P. Reiter, Karl B. Thor, and Paul C. Dolber. “Inhibition of bladder activity by 5-hydroxytryptamine1 serotonin receptor agonists in cats with chronic spinal cord injury.” The Journal of Pharmacology and Experimental Therapeutics 310, no. 3 (September 2004): 1266–72. https://doi.org/10.1124/jpet.103.063842.Full Text
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Gu, B., J. P. Reiter, D. A. Schwinn, M. P. Smith, C. Korstanje, K. B. Thor, and P. C. Dolber. “Effects of alpha 1-adrenergic receptor subtype selective antagonists on lower urinary tract function in rats with bladder outlet obstruction.” The Journal of Urology 172, no. 2 (August 2004): 758–62.
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Reiter, J. P. “Should teams walk or pitch to Barry Bonds?” Baseball Research Journal 32 (2004): 63–69.
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Reiter, J. P. “Simultaneous use of multiple imputation for missing data and disclosure limitation.” Survey Methodology 30 (2004): 235–42.
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Sanil, A. P., A. F. Karr, X. Lin, and J. P. Reiter. “Privacy preserving regression modelling via distributed computation.” Kdd 2004 Proceedings of the Tenth Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, January 1, 2004, 677–82. https://doi.org/10.1145/1014052.1014139.Full Text
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Karr, A. F., X. Lin, A. P. Sanil, and J. P. Reiter. “Analysis of integrated data without data integration.” Chance 17, no. 3 (2004): 27–30.
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Reiter, J. P. “New approaches to data dissemination: A glimpse into the future (?).” Chance 17, no. 3 (2004): 12–16.
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Reiter, J. P. “Synthetic diagnostics for remote access regression servers.” Statistics and Computing 13, no. 4 (October 2003): 371–80.
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Reiter, J. P. “Model diagnostics for remote access regression servers.” Statistics and Computing 13, no. 4 (October 1, 2003): 371–80. https://doi.org/10.1023/A:1025623108012.Full Text
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Raghunathan, T. E., J. P. Reiter, and D. B. Rubin. “Multiple imputation for statistical disclosure limitation.” Journal of Official Statistics 19, no. 1 (January 2003): 1–16.
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Reiter, J. P. “Inference for partially synthetic, public use microdata sets.” Survey Methodology 29, no. 2 (2003): 181–88.
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Reiter, J. P. “Satisfying disclosure restrictions with synthetic data sets.” Journal of Official Statistics 18 (December 2002): 531–44.
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Reiter, J. P. “Borrowing strength when explicit data pooling is prohibited.” Journal of Official Statistics 16 (2000): 295–319.
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Reiter, J. “Using statistics to determine causal relationships.” American Mathematical Monthly 107, no. 1 (January 1, 2000): 24–32. https://doi.org/10.2307/2589374.Full Text
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Akande, O., Andres Barrientos, and Jerome Reiter. “Simultaneous Edit and Imputation for Household Data with Structural Zeros (Accepted).” Journal of Survey Statistics and Methodology, n.d. https://doi.org/10.1093/jssam/smy022.Full Text Open Access Copy Link to Item
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Akande, O., Jerome Reiter, and Andres Barrientos. “Multiple Imputation of Missing Values in Household Data with Structural Zeros (Accepted).” Survey Methodology, n.d.Open Access Copy Link to Item
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Book Sections
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Reiter, J. P. “Assessing Uncertainty When Using Linked Administrative Records.” In Administrative Records for Survey Methodology, 139–53, 2021. https://doi.org/10.1002/9781119272076.ch6.Full Text
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Karr, A. F., and J. P. Reiter. “Using Statistics to Protect Privacy.” In Privacy, Big Data, and the Public Good: Frameworks for Engagement, 276–95, 2013. https://doi.org/10.1017/CBO9781107590205.017.Full Text
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Reiter, Jerome P. “Protecting Data Confidentiality in Publicly Released Datasets: Approaches Based on Multiple Imputation.” In BIOINFORMATICS IN HUMAN HEALTH AND HEREDITY, 28:533–45, 2012. https://doi.org/10.1016/B978-0-44-4518750.00020-8.Full Text Link to Item
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Hill, J. L., J. P. Reiter, and E. L. Zanutto. “A Comparison of Experimental and Observational Data Analyses.” In Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin’s Statistical Family, 49–60, 2005. https://doi.org/10.1002/0470090456.ch5.Full Text
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Scholarly Editions
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White, Kirk, Jerome P. Reiter, and Amil Petrin. “Implications of Resource Reallocation and Technical Progress for Macroeconomic Fluctuations: Evidence from Plant-Level U.S. Manufacturing Data,” 2009.
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Reports
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Barrientos, A. F., J. P. Reiter, A. Machanavajjhala, and Y. Chen. “Differentially Private Significance Tests for Regression Coefficients,” April 3, 2019. https://doi.org/10.1080/10618600.2018.1538881.Full Text
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Figueiredo, J. de, A. Barrientos, A. Bolton, T. Balmat, J. Reiter, A. Machanavajjhala, Y. Chen, C. Kneifel, and M. DeLong. “Providing Access to Confidential Research Data Through Synthesis and Verification: An Application to Data on Employees of the U.S. Federal Government,” 2018.
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Conference Papers
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Tang, J., J. P. Reiter, and R. C. Steorts. “Bayesian Modeling for Simultaneous Regression and Record Linkage.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12276 LNCS:209–23, 2020. https://doi.org/10.1007/978-3-030-57521-2_15.Full Text
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Chen, Y., A. Machanavajjhala, J. P. Reiter, and A. F. Barrientos. “Differentially private regression diagnostics.” In Proceedings Ieee International Conference on Data Mining, Icdm, 81–90, 2017. https://doi.org/10.1109/ICDM.2016.87.Full Text
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Hu, J., J. P. Reiter, and Q. Wang. “Disclosure risk evaluation for fully synthetic categorical data.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8744:185–99, 2014. https://doi.org/10.1007/978-3-319-11257-2_15.Full Text
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Godin, E. A., S. S. Sikes, M. J. Halpin, J. P. Reiter, and R. D. Schwartz-Bloom. “THE ALCOHOL PHARMACOLOGY EDUCATION PARTNERSHIP: EDUCATING HIGH SCHOOL STUDENTS ABOUT ALCOHOL.” In Alcoholism Clinical and Experimental Research, 36:251A-251A. WILEY-BLACKWELL, 2012.Link to Item
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Schwartz-Bloom, R. D., M. J. Halpin, and J. P. Reiter. “Professional development in pharmacology for high school teachers improves their students' scores in biology & chemistry.” In Faseb Journal, 20:A866–A866. FEDERATION AMER SOC EXP BIOL, 2006.Link to Item
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Mitra, R., and J. P. Reiter. “Adjusting survey weights when altering identifying design variables via synthetic data.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4302:177–88, 2006. https://doi.org/10.1007/11930242_16.Full Text
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Gu, Baojun, Jerome P. Reiter, Debra A. Schwinn, Michael Smith, Cees Korstanje, Karl B. Thor, and Paul C. Dolber. “1727: Effects of Alpha-1 Adrenergic Receptor Subtype· Selective Antagonists on Lower Urinary Tract Function in RATS with Bladder Outlet Obstruction.” In Journal of Urology, 171:457–457. Ovid Technologies (Wolters Kluwer Health), 2004. https://doi.org/10.1016/s0022-5347(18)38919-5.Full Text
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Reiter, J. P., and C. N. Kohnen. “Generalized linear model diagnostics for remote access servers.” In Asc 2003: The Impact of Technology on the Survey Process, edited by R. Banks, J. Currall, J. Francis, L. Gerrard, R. Khan, T. Macer, M. Rigg, E. Ross, S. Taylor, and A. Westlake, 385–94. ASSOC SURVEY COMPUTING, 2003.Link to Item
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Preprints
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Kazan, Zeki, and Jerry Reiter. “Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, with Application to the 2020 US Decennial Census.” ArXiv, April 8, 2022. https://doi.org/10.48550/arXiv.2204.04253.Full Text
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- Teaching & Mentoring
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Recent Courses
- STA 322: Study Design: Design of Surveys and Causal Studies 2023
- STA 393: Research Independent Study 2023
- STA 522: Study Design: Design of Surveys and Causal Studies 2023
- STA 891: Topics for Preliminary Exam Preparation in Statistical Science 2023
- STA 901S: Statistical Science Seminar 2023
- STA 211: The Mathematics of Regression 2022
- STA 493: Research Independent Study 2022
- STA 693: Research Independent Study 2022
- STA 211: The Mathematics of Regression 2021
- STA 693: Research Independent Study 2021
- STA 993: Independent Study 2021
- Scholarly, Clinical, & Service Activities
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Service to the Profession
- Participant. Faculty Curriculum on Anti-Racism. Duke Office of Faculty Advancement. January 11, 2021 - January 14, 2021 2021
- Section chair : ASA Section on Statistics in Sports. July 19, 2008 2008
- Panel Member, National Academy of Sciences Panel Collecting, Storing, Accessing, and Protecting Social Survey Data Containing Biological Measures. 2008 2008
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