Robin Mitra - Publications & Outputs - Research Portal

Dr Robin Mitra

Formerly at Lancaster University

1 - 22 out of 22Page size: 100

10
25
50
100
500

RSS feed of this list

Sort by: Type

Journal article
Published
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
Mitra, R., 31/03/2023, In: Biometrical Journal. 65, 3, 17 p., 2100284.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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
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
Published
Confidentiality challenges in releasing longitudinally linked data
Mitra, R., Blanchard, S., Dove, I., Tudor, C. & Spicer, K., 2020, In: Transactions on Data Privacy. 13, 2, p. 151-170 20 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
D-optimal designs for multiarm trials with dropouts
Lee, K. M., Biedermann, S. & Mitra, R., 1/07/2019, In: Statistics in Medicine. 38, 15, p. 2749-2766 18 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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
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
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
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
Published
A comparison of two methods of estimating propensity scores after multiple imputation
Mitra, R. & Reiter, J. P., 1/02/2016, In: Statistical Methods in Medical Research. 25, 1, p. 188-204 17 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets
Rashid, S., Mitra, R. & Steele, R. J., 1/12/2015, In: Computational Statistics and Data Analysis. 92, p. 84-96 13 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Are independent parameter draws necessary for multiple imputation?
Hu, J., Mitra, R. & Reiter, J. P., 2013, In: American Statistician. 67, 3, p. 143-149 7 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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
Published
Estimating propensity scores with missing covariate data using general location mixture models
Mitra, R. & Reiter, J. P., 15/03/2011, In: Statistics in Medicine. 30, 6, p. 627-641 15 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Two-level stochastic search variable selection in GLMs with missing predictors
Mitra, R. & Dunson, D., 1/01/2010, In: International Journal of Biostatistics. 6, 1
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Estimating risks of identification disclosure in partially synthetic data
Reiter, J. P. & Mitra, R., 1/04/2009, In: Journal of Privacy and Confidentiality. 1, 1, p. 99-110 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Working paper
Published
A comparison of two methods of estimating propensity scores after multiple imputation
Mitra, R. & Reiter, J. P., 1/04/2011.
Research output: Working paper
Published
Propensity score matching with missing covariates via iterated, sequential multiple imputation
Mitra, R. & Reiter, J. P., 1/04/2011.
Research output: Working paper
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
Published
Estimating propensity scores with missing covariate data using general location mixture models
Mitra, R. & Reiter, J. P., 1/08/2009.
Research output: Working paper
Published
Two level stochastic search variable selection in GLMs with missing predictors
Mitra, R. & Dunson, D. D., 1/02/2009.
Research output: Working paper
Published
Estimating risks of identification disclosure in partially synthetic data
Reiter, J. P. & Mitra, R., 1/10/2008.
Research output: Working paper

Research

Dr Robin Mitra

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

Learning from data with structured missingness

Multiply imputing missing values arising by design in transplant survival data

Confidentiality challenges in releasing longitudinally linked data

D-optimal designs for multiarm trials with dropouts

Optimal design when outcome values are not missing at random

On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression

Optimal design for experiments with possibly incomplete observations

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

A comparison of two methods of estimating propensity scores after multiple imputation

Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets

Are independent parameter draws necessary for multiple imputation?

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

Estimating propensity scores with missing covariate data using general location mixture models

Two-level stochastic search variable selection in GLMs with missing predictors

Estimating risks of identification disclosure in partially synthetic data

A comparison of two methods of estimating propensity scores after multiple imputation

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

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

Estimating propensity scores with missing covariate data using general location mixture models

Two level stochastic search variable selection in GLMs with missing predictors

Estimating risks of identification disclosure in partially synthetic data

Quick Links

Connect With Us

Faculties & Depts

Contact Us