Items where Author is "Mitra, Robin"

Journal Article

Mitra, Robin (2023) A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching. Biometrical Journal, 65 (3): 2100284. ISSN 0323-3847

Mitra, Robin and McGough, Sarah F. and Chakraborti, Tapabrata and Holmes, Chris and Copping, Ryan and Hagenbuch, Niels and Biedermann, Stefanie and Noonan, Jack and Lehmann, Brieuc and Shenvi, Aditi and Doan, Xuan Vinh and Leslie, David and Bianconi, Ginestra and Sanchez-Garcia, Ruben and Davies, Alisha and Mackintosh, Maxine and Andrinopoulou, Eleni-Rosalina and Basiri, Anahid and Harbron, Chris and MacArthur, Ben D. (2023) Learning from data with structured missingness. Nature Machine Intelligence, 5 (1). pp. 13-23. ISSN 2522-5839

Jackson, James and Mitra, Robin and 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 Statistics in Society, 185 (4). pp. 1613-1643. ISSN 0964-1998

Mitra, Robin and Kimber, Alan and Pankhurst, Laura and Collett, Dave (2020) Multiply imputing missing values arising by design in transplant survival data. Biometrical Journal, 62 (5). pp. 1192-1207. ISSN 0323-3847

Lee, Kim and Mitra, Robin and Biedermann, Stefanie (2018) Optimal design when outcome values are not missing at random. Statistica Sinica, 28 (4). pp. 1821-1838. ISSN 1017-0405

Ghosh, Joyee and Li, Yingbo and Mitra, Robin (2017) On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression. Bayesian Analysis, 13 (2). pp. 359-383. ISSN 1936-0975

Lee, Kim May and Biedermann, Stefanie and Mitra, Robin (2017) Optimal design for experiments with possibly incomplete observations. Statistica Sinica. ISSN 1017-0405

Lee, Min and Mitra, Robin (2016) Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models. Computational Statistics and Data Analysis, 95. pp. 24-38. ISSN 0167-9473

Mitra, Robin 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. ISSN 0962-2802

Rashid, S. and Mitra, Robin 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. ISSN 0167-9473

Hu, Jingchen and Mitra, Robin and Reiter, Jerome P. (2013) Are independent parameter draws necessary for multiple imputation? American Statistician, 67 (3). pp. 143-149. ISSN 0003-1305

Ghosh, M. and Song, J. and Forster, J.J. and Mitra, Robin 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. ISSN 0277-6715

Mitra, Robin 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. ISSN 0277-6715

Mitra, Robin and Dunson, David (2010) Two-level stochastic search variable selection in GLMs with missing predictors. International Journal of Biostatistics, 6 (1).

Reiter, Jerome P. and Mitra, Robin (2009) Estimating risks of identification disclosure in partially synthetic data. Journal of Privacy and Confidentiality, 1 (1). pp. 99-110.

Contribution in Book/Report/Proceedings

Jackson, James and Mitra, Robin and Francis, Brian and Dove, Iain (2024) Obtaining (Ɛ,δ)-differential privacy guarantees when using the Poisson distribution to synthesize tabular data. In: Privacy in Statistical Databases – PSD2024 :. Lecture Notes in Computer Science . Springer, Cham, pp. 102-112. ISBN 9783031696503

Jackson, James and Mitra, Robin and Francis, Brian and Dove, Iain (2022) On integrating the number of synthetic data sets m into the a priori synthesis approach. In: Privacy in Statistical Databases : International Conference, PSD 2022, Paris, France, September 21–23, 2022, Proceedings. Lecture Notes in Computer Science . Springer, Cham, pp. 205-219. ISBN 9783031139444

Jackson, James and Francis, Brian and Mitra, Robin and Dove, Iain (2022) Using saturated models for data synthesis. In: Proceedings of the 36th International Workshop on Statistical Modelling : July 18-22, 2022 - Trieste, Italy. EUT Edizioni Università di Trieste, Trieste 2022, ITA, pp. 205-210. ISBN 9788855113090

Monograph

Mitra, Robin and Reiter, Jerome P. (2011) Propensity score matching with missing covariates via iterated, sequential multiple imputation. Working Paper. UNSPECIFIED.

Mitra, Robin and Reiter, Jerome P. (2011) A comparison of two methods of estimating propensity scores after multiple imputation. Working Paper. UNSPECIFIED.

Ghosh, M. and Song, J. and Forster, Jonathan J. and Mitra, Robin and Mukherjee, B. (2010) On the equivalence of posterior inference based on retrospective and prospective likelihoods. Working Paper. UNSPECIFIED.

Mitra, Robin and Reiter, Jerome P. (2009) Estimating propensity scores with missing covariate data using general location mixture models. Working Paper. UNSPECIFIED.

Mitra, Robin and Dunson, David D. (2009) Two level stochastic search variable selection in GLMs with missing predictors. Working Paper. UNSPECIFIED.

Reiter, Jerome P. and Mitra, Robin (2008) Estimating risks of identification disclosure in partially synthetic data. Working Paper. UNSPECIFIED.

Thesis

Mantziou, Anastasia and Lunagomez Coria, Simon and Mitra, Robin and Fearnhead, Paul (2022) Bayesian Modelling and Inference for Multiple Network Data. PhD thesis, Lancaster University.

Jackson, James and Mitra, Robin and Francis, Brian and Dove, Iain (2022) The use of saturated count models for synthesis of large confidential administrative databases. PhD thesis, Lancaster University.