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Dr Robin Mitra

Formerly at Lancaster University

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  1. Published

    Learning from data with structured missingness

    Mitra, R., McGough, S. F., Chakraborti, T., Holmes, C., Copping, R., Hagenbuch, N., Biedermann, S., Noonan, J., Lehmann, B., Shenvi, A., Doan, X. V., Leslie, D., Bianconi, G., Sanchez-Garcia, R., Davies, A., Mackintosh, M., Andrinopoulou, E-R., Basiri, A., Harbron, C. & MacArthur, B. D., 25/01/2023, In: Nature Machine Intelligence. 5, 1, p. 13-23 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Multiply imputing missing values arising by design in transplant survival data

    Mitra, R., Kimber, A., Pankhurst, L. & Collett, D., 1/09/2020, In: Biometrical Journal. 62, 5, p. 1192-1207 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models

    Lee, M. & Mitra, R., 1/03/2016, In: Computational Statistics and Data Analysis. 95, p. 24-38 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    On the equivalence of posterior inference based on retrospective and prospective likelihoods: application to a case-control study of colorectal cancer

    Ghosh, M., Song, J., Forster, J. J., Mitra, R. & Mukherjee, B., 10/09/2012, In: Statistics in Medicine. 31, 20, p. 2196-2208 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    On the equivalence of posterior inference based on retrospective and prospective likelihoods

    Ghosh, M., Song, J., Forster, J. J., Mitra, R. & Mukherjee, B., 2010.

    Research output: Working paper

  6. Published

    On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression

    Ghosh, J., Li, Y. & Mitra, R., 7/03/2017, In: Bayesian Analysis. 13, 2, p. 359-383 25 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Optimal design for experiments with possibly incomplete observations

    Lee, K. M., Biedermann, S. & Mitra, R., 2017, In: Statistica Sinica. 26 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Optimal design when outcome values are not missing at random

    Lee, K., Mitra, R. & Biedermann, S., 1/10/2018, In: Statistica Sinica. 28, 4, p. 1821-1838 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Propensity score matching with missing covariates via iterated, sequential multiple imputation

    Mitra, R. & Reiter, J. P., 1/04/2011.

    Research output: Working paper

  10. Published

    Two level stochastic search variable selection in GLMs with missing predictors

    Mitra, R. & Dunson, D. D., 1/02/2009.

    Research output: Working paper

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