Results for Missing data

Publications & Outputs

1. Development of guidelines to reduce, handle and report missing data in palliative care trials: A multi-stakeholder modified nominal group technique

   Hussain, J. A., White, I. R., Johnson, M. J., Byrne, A., Preston, N. J., Haines, A., Seddon, K. & Peters, T. J., 17/01/2022, In: Palliative Medicine. 36, 1, p. 59-70 12 p.

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

2. Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study

   ACTION Consortium, 9/01/2021, In: BMC Medical Research Methodology. 21, 1, 12 p., 13.

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

3. A response‐adaptive randomization procedure for multi‐armed clinical trials with normally distributed outcomes

   Williamson, S. F. & Villar, S., 19/09/2019, (E-pub ahead of print) In: Biometrics. 13 p.

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

4. Infilling missing data in hydrology: Solutions using satellite radar altimetry and multiple imputation for data-sparse regions

   Ekeu-Wei, I. T., Blackburn, G. A. & Pedruco, P., 20/10/2018, In: Water (Switzerland). 10, 10, 22 p., 1483.

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

5. Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements

   Guillaumin, A. P., Sykulski, A. M., Olhede, S. C., Early, J. J. & Lilly, J. M., 09/2017, In: Journal of Time Series Analysis. 38, 5, p. 668-710 43 p.

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

6. 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

7. Markov models of dependence in longitudinal paired comparisons: an application to course design

   Grand, A., Dittrich, R. & Francis, B., 04/2015, In: AStA Advances in Statistical Analysis. 99, 2, p. 237-257 21 p.

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

8. Model-based imputation of missing data from the 122 Cities Mortality Reporting System (122 CMRS)

   Moraga, P. & Ozonoff, A., 2013, In: Stochastic Environmental Research and Risk Assessment. 29, 5, p. 1499-1507 9 p.

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

9. Spectral estimation for locally stationary time series with missing observations

   Knight, M. A., Nunes, M. & Nason, G. P., 07/2012, In: Statistics and Computing. 22, 4, p. 877-895 19 p.

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

10. Spatial risk assessment for extreme river flows

    Keef, C., Tawn, J. & Svensson, C., 31/12/2009, In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 58, 5, p. 601-618 18 p.

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