| Multiple imputation for statistical disclosure limitation TE Raghunathan, JP Reiter, DB Rubin Journal of official statistics 19 (1), 1, 2003 | 603 | 2003 |
| Multiple imputation for missing data via sequential regression trees LF Burgette, JP Reiter American journal of epidemiology 172 (9), 1070-1076, 2010 | 388 | 2010 |
| Using CART to generate partially synthetic public use microdata JP Reiter Journal of official statistics 21 (3), 441, 2005 | 348 | 2005 |
| Inference for partially synthetic, public use microdata sets JP Reiter Survey Methodology 29 (2), 181-188, 2003 | 333 | 2003 |
| A comparison of two methods of estimating propensity scores after multiple imputation R Mitra, JP Reiter Statistical methods in medical research 25 (1), 188-204, 2016 | 307 | 2016 |
| Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study JP Reiter Journal of the Royal Statistical Society Series A: Statistics in Society 168 …, 2005 | 303 | 2005 |
| The multiple adaptations of multiple imputation JP Reiter, TE Raghunathan Journal of the American Statistical Association 102 (480), 1462-1471, 2007 | 290 | 2007 |
| Maternal prenatal pregnancy-related anxiety and spontaneous preterm birth in Baltimore, Maryland ST Orr, JP Reiter, DG Blazer, SA James Psychosomatic medicine 69 (6), 566-570, 2007 | 258 | 2007 |
| A framework for evaluating the utility of data altered to protect confidentiality AF Karr, CN Kohnen, A Oganian, JP Reiter, AP Sanil The American Statistician 60 (3), 224-232, 2006 | 248 | 2006 |
| Satisfying disclosure restrictions with synthetic data sets JP Reiter Journal of official statistics 18 (4), 531, 2002 | 247 | 2002 |
| The importance of modeling the sampling design in multiple imputation for missing data JP Reiter, TE Raghunathan, SK Kinney Survey methodology 32 (2), 143, 2006 | 204 | 2006 |
| Global measures of data utility for microdata masked for disclosure limitation MJ Woo, JP Reiter, A Oganian, AF Karr Journal of Privacy and Confidentiality 1 (1), 2009 | 200 | 2009 |
| Privacy preserving regression modelling via distributed computation AP Sanil, AF Karr, X Lin, JP Reiter Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 193 | 2004 |
| Interval estimation for treatment effects using propensity score matching J Hill, JP Reiter Statistics in medicine 25 (13), 2230-2256, 2006 | 192 | 2006 |
| Depressive symptoms and indicators of maternal health status during pregnancy ST Orr, DG Blazer, SA James, JP Reiter Journal of women's health 16 (4), 535-542, 2007 | 191 | 2007 |
| Towards unrestricted public use business microdata: The synthetic longitudinal business database SK Kinney, JP Reiter, AP Reznek, J Miranda, RS Jarmin, JM Abowd International statistical review 79 (3), 362-384, 2011 | 180 | 2011 |
| An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets J Drechsler, JP Reiter Computational Statistics & Data Analysis 55 (12), 3232-3243, 2011 | 175 | 2011 |
| Estimating risks of identification disclosure in microdata JP Reiter Journal of the American Statistical Association 100 (472), 1103-1112, 2005 | 170 | 2005 |
| Secure regression on distributed databases AF Karr, X Lin, AP Sanil, JP Reiter Journal of Computational and Graphical Statistics 14 (2), 263-279, 2005 | 170 | 2005 |
| Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys Y Si, JP Reiter Journal of educational and behavioral statistics 38 (5), 499-521, 2013 | 168 | 2013 |
xiaodong linRutgers University在 business.rutgers.edu 的电子邮件经过验证
