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
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Jackson, James, Mitra, Robin ORCID: https://orcid.org/0000-0001-9584-8044, Francis, Brian and Dove, Iain
2022.
Using saturated count models for userâfriendly 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
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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
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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
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
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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
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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
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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
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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
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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
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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/
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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
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|
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
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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
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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
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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
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