Results for multiple imputation

Publications & Outputs

1. 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

2. Correcting for non-participation bias in health surveys using record-linkage, synthetic observations and pattern mixture modelling

   Gray, L., Gorman, E., White, I. R., Katikireddi, S. V., McCartney, G., Rutherford, L. & Leyland, A. H., 1/04/2020, In: Statistical Methods in Medical Research. 29, 4, p. 1212-1226 15 p.

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

3. 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. 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

5. 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

6. 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