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Research

Results for missing data

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. Examination of risk factors for stroke survival in the presence of missing data and non-proportional hazards

    France, A., 4/01/2021, Lancaster University. 281 p.

    Research output: Thesis › Doctoral Thesis

  3. Dealing with observational data in control

    Wilson, E. D., Clairon, Q., Henderson, R. & Taylor, C. J., 2018, In: Annual Reviews in Control. 46, p. 94-106 13 p.

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

  4. 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

  5. Estimating the cost-effectiveness of fluticasone propionate for treating chronic obstructive pulmonary disease in the presence of missing data

    Briggs, A. H., Lozano-Ortega, G., Spencer, S., Bale, G., Spencer, M. D. & Burge, P. S., 07/2006, In: Value in Health. 9, 4, p. 227-235 9 p., 16903992.

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