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Results for Random Forests

Publications & Outputs

  1. A permutation test for assessing the presence of individual differences in treatment effects

    Chang, C., Jaki, T., Sadiq, M. S., Kuhlemeier, A., Feaster, D., Cole, N., Lamont, A., Oberski, D., Desai, Y. & Lee Van Horn, M., 1/11/2021, In: Statistical Methods in Medical Research. 30, 11, p. 2369-2381 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Can't see the trees for the forest: The benefits of using Random Forests analysis method

    Mills, E., 28/06/2019.

    Research output: Contribution to conference - Without ISBN/ISSN Speech

  3. Sensitivity analysis based on regional splits and regression trees (SARS-RT)

    Pappenberger, F., Iorgulescu, I. & Beven, K. J., 07/2006, In: Environmental Modelling and Software. 21, 7, p. 976-990 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review