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Number of items: 21.

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, McGough, Sarah F., Chakraborti, Tapabrata, Holmes, Chris, Copping, Ryan, Hagenbuch, Niels, Biedermann, Stefanie, Noonan, Jack, Lehmann, Brieuc, Shenvi, Aditi, Doan, Xuan Vinh, Leslie, David, Bianconi, Ginestra, Sanchez-Garcia, Ruben, Davies, Alisha, Mackintosh, Maxine, Andrinopoulou, Eleni-Rosalina, Basiri, Anahid, Harbron, Chris and MacArthur, Ben D. 2023. Learning from data with structured missingness. Nature Machine Intelligence 5 (1) , pp. 13-23. 10.1038/s42256-022-00596-z

Jackson, James, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, Francis, Brian and Dove, Iain 2022. Using saturated count models for user‐friendly synthesis of large confidential administrative databases. Journal of the Royal Statistical Society: Series A 185 (4) , pp. 1613-1643. 10.1111/rssa.12876
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Pankhurst, Laura, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, Kimber, Alan and Collett, Dave 2020. Multiply imputing missing values arising by design in transplant survival data. Biometrical Journal 62 (5) , pp. 1192-1207. 10.1002/bimj.201800253

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, Blanchard, Stephanie, Dove, Iain, Tudor, Caroline and Spicer, Keith 2020. Confidentiality challenges in releasing longitudinally linked data. Transactions on Data Privacy 13 (2) , pp. 151-170.
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Lee, Kim May, Biedermann, Stefanie and Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 2019. D-optimal designs for multiarm trials with dropouts. Statistics in Medicine 38 (15) , pp. 2749-2766. 10.1002/sim.8148
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May, Kim May, Biedermann, Stefanie and Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 2018. Optimal design for experiments with possibly incomplete variations. Statistica Sinica 28 (3) , pp. 1611-1632.
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Ghosh, Joyee, Li, Yingbo and Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 2018. On the use of Cauchy prior distributions for Bayesian logistic regression. Bayesian Analysis 13 (2) , pp. 359-383. 10.1214/17-BA1051
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May, Kim, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Biedermann, Stephanie 2018. Optimal design when outcome values are not missing at random. Statistica Sinica 28 (4) , pp. 1821-1838.
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Lee, Min Cherng, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, Lazaridis, Emmanuel, Lai, An-Chow, Goh, Yong Kheng and Yap, Wun-She 2017. Data privacy preserving scheme using generalised linear models. Computers and Security 69 , pp. 142-154. 10.1016/j.cose.2016.12.009

Lee, Min Cherng, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, Lazaridis, Emmanuel, Lai, An Chow, Goh, Yong Kheng and Yap, Wun-She 2016. Statistical disclosure control for data privacy using sequence of generalised linear models. Presented at: 21st Australasian Conference on Information Security and Privacy (ACISP 2016), Melbourne, VIC, Australia, 4-6 July 2016. Published in: Liu, Joseph K. and Steinfeld, Ron eds. Information Security and Privacy: 21st Australasian Conference, ACISP 2016, Melbourne, VIC, Australia, July 4-6, 2016, Proceedings, Part I. Lecture Notes in Computer Science. 0302-9743 , vol.9722 Springer Verlag, pp. 77-93. 10.1007/978-3-319-40253-6_5

Lee, Min Cherng and Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 2016. Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models. Computational Statistics & Data Analysis 95 , pp. 24-38. 10.1016/j.csda.2015.08.004

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Reiter, Jerome P 2016. A comparison of two methods of estimating propensity scores after multiple imputation. Statistical Methods in Medical Research 25 (1) , pp. 188-204. 10.1177/0962280212445945

Rashid, S., Mitra, R. ORCID: https://orcid.org/0000-0001-9584-8044 and Steele, R.J. 2015. Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets. Computational Statistics and Data Analysis 92 , pp. 84-96. 10.1016/j.csda.2015.05.009

Hu, Jingchen, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Reiter, Jerome 2013. Are independent parameter draws necessary for multiple imputation? American Statistician 67 (3) , pp. 143-149. 10.1080/00031305.2013.821953

Ghosh, M., Song, J., Forster, J.J., Mitra, R. ORCID: https://orcid.org/0000-0001-9584-8044 and Mukherjee, B. 2012. On the equivalence of posterior inference based on retrospective and prospective likelihoods: application to a case-control study of colorectal cancer. Statistics in Medicine 31 (20) , pp. 2196-2208. 10.1002/sim.5358

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Reiter, Jerome P. 2011. Propensity score matching with missing covariates via iterated, sequential multiple imputation. Southampton: University of Southampton. Available at: https://eprints.soton.ac.uk/181681/

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Reiter, Jerome P. 2011. Estimating propensity scores with missing covariate data using general location mixture models. Statistics in Medicine 30 (6) , pp. 627-641. 10.1002/sim.4124

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Dunson, David 2010. Two-level stochastic search variable selection in GLMs with missing predictors. International Journal of Biostatistics 6 (1) , 33. 10.2202/1557-4679.1173

Reiter, Jerome P. and Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 2009. Estimating risks of identification disclosure in partially synthetic data. Journal of Privacy and Confidentiality 1 (1) 10.29012/jpc.v1i1.567

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Dunson, David D. 2009. Two level stochastic search variable selection in GLMs with missing predictors. [Project Report]. Southampton: University of Southampton. Available at: https://eprints.soton.ac.uk/65460/1/65460-01.pdf

Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044 and Reiter, Jerome P. 2006. Adjusting survey weights when altering identifying design variables via synthetic data. Presented at: International Conference on Privacy in Statistical Databases, Rome, Italy, 13-15 December 2006. Published in: Domingo-Ferrer, J. and Franconi, L. eds. Privacy in Statistical Databases. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Verlag, pp. 177-188. 10.1007/11930242_16

This list was generated on Thu Apr 17 08:40:00 2025 BST.


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