| 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 | 304 | 2016 |
| Propensity score analysis: Fundamentals and developments W Pan, H Bai Guilford Publications, 2015 | 173 | 2015 |
| On the use of Cauchy prior distributions for Bayesian logistic regression J Ghosh, Y Li, R Mitra Bayesian Analysis 13 (2), 359-383, 2018 | 169 | 2018 |
| Estimating risks of identification disclosure in partially synthetic data JP Reiter, R Mitra Journal of Privacy and Confidentiality 1 (1), 2009 | 125 | 2009 |
| Estimating propensity scores with missing covariate data using general location mixture models R Mitra, JP Reiter Statistics in medicine 30 (6), 627-641, 2011 | 56 | 2011 |
| Adjusting survey weights when altering identifying design variables via synthetic data R Mitra, JP Reiter International Conference on Privacy in Statistical Databases, 177-188, 2006 | 40 | 2006 |
| Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models MC Lee, R Mitra Computational statistics & data analysis 95, 24-38, 2016 | 25 | 2016 |
| Learning from data with structured missingness R Mitra, SF McGough, T Chakraborti, C Holmes, R Copping, ... Nature Machine Intelligence 5 (1), 13-23, 2023 | 24 | 2023 |
| Two-level stochastic search variable selection in GLMs with missing predictors R Mitra, D Dunson The international journal of biostatistics 6 (1), 2010 | 18 | 2010 |
| An overview on synthetic administrative data for research T Kokosi, B De Stavola, R Mitra, L Frayling, A Doherty, I Dove, ... International Journal of Population Data Science 7 (1), 2022 | 14 | 2022 |
| Optimal design when outcome values are not missing at random KM Lee, R Mitra, S Biedermann Statistica Sinica 28 (4), 1821-1838, 2018 | 10 | 2018 |
| Confidentiality challenges in releasing longitudinally linked data R Mitra, S Blanchard, I Dove, C Tudor, K Spicer Transactions on Data Privacy 13 (2), 151-170, 2020 | 8 | 2020 |
| Optimal design for experiments with possibly incomplete observations KM Lee, S Biedermann, R Mitra Statistica Sinica 28 (3), 1611-1632, 2018 | 8 | 2018 |
| Bayesian model-based clustering for populations of network data A Mantziou, S Lunagómez, R Mitra The Annals of Applied Statistics 18 (1), 266-302, 2024 | 7* | 2024 |
| Data privacy preserving scheme using generalised linear models MC Lee, R Mitra, E Lazaridis, AC Lai, YK Goh, WS Yap Computers & Security 69, 142-154, 2017 | 7 | 2017 |
| On the equivalence of posterior inference based on retrospective and prospective likelihoods: application to a case‐control study of colorectal cancer M Ghosh, J Song, JJ Forster, R Mitra, B Mukherjee Statistics in medicine 31 (20), 2196-2208, 2012 | 7 | 2012 |
| Are independent parameter draws necessary for multiple imputation? J Hu, R Mitra, J Reiter The American Statistician 67 (3), 143-149, 2013 | 6 | 2013 |
| Using saturated count models for user‐friendly synthesis of large confidential administrative databases J Jackson, R Mitra, B Francis, I Dove Journal of the Royal Statistical Society: Series A, 2022 | 5* | 2022 |
| Multiply imputing missing values arising by design in transplant survival data L Pankhurst, R Mitra, A Kimber, D Collett Biometrical Journal 62 (5), 1192-1207, 2020 | 5 | 2020 |
| A Framework for Auditable Synthetic Data Generation F Houssiau, SN Cohen, L Szpruch, O Daniel, MG Lawrence, R Mitra, ... arXiv preprint arXiv:2211.11540, 2022 | 4 | 2022 |
Jerome ReiterDuke University在 duke.edu 的电子邮件经过验证
