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  1. SIMPLE—A modular tool for simulating complex platform trials

    Meyer, E. L., Mielke, T., Parke, T., Jacko, P. & Koenig, F., 30/09/2023, In: SoftwareX. 23, p. 101515 101515.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. exuber: Recursive Right-Tailed Unit Root Testing with R

    Vasilopoulos, K., Pavlidis, E. & Martínez-García, E., 22/08/2022, In: Journal of Statistical Software. 103, 10, p. 1-26 26 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Software Application Profile: Bayesian estimation of inverse variance weighted and MR-Egger models for two-sample Mendelian randomization studies-mrbayes

    Uche-Ikonne, O., Dondelinger, F. & Palmer, T., 28/02/2021, In: International Journal of Epidemiology. 50, 1, p. 43-49 7 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. A rapid and reproducible picture of open access health facility data in Africa to support the COVID-19 response

    South, A., Dicko, A., Herringer, M., Macharia, P. M., Maina, J., Okiro, E. A., Snow, R. W. & van der Walt, A., 16/02/2021, In: Wellcome Open Research. 5, 157.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. A reproducible picture of open access health facility data in Africa and R tools to support improvement

    South, A., Dicko, A., Herringer, M., Macharia, P. M., Maina, J., Okiro, E. A., Snow, R. W. & van der Walt, A., 16/02/2021, In: Wellcome Open Research. 5, p. 1-32 32 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. exuber: Recursive Right-Tailed Unit Root Testing with R

    Vasilopoulos, K., Pavlidis, E. & Martínez-García, E., 13/05/2020, Lancaster: Lancaster University, Department of Economics, (Economics Working Papers Series).

    Research output: Working paper

  7. DClusterm: Model-based detection of disease clusters

    Gómez-Rubio, V., Moraga, P., Molitor, J. & Rowlingson, B., 22/08/2019, In: Journal of Statistical Software. 90, 14, p. 1-26 26 p., 14.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. The R package MAMS for designing multi-arm multi-stage clinical trials

    Jaki, T. F., Pallmann, P. S. & Magirr, D., 31/01/2019, In: Journal of Statistical Software. 88, 4, 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Dynamic TOPMODEL: a new implementation in R and its sensitivity to time and space steps

    Metcalfe, P., Beven, K. J. & Freer, J., 10/2015, In: Environmental Modelling and Software. 72, p. 155-172 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate Log-Gaussian Cox processes in R

    Taylor, B., Davies, T., Rowlingson, B. & Diggle, P., 10/02/2015, In: Journal of Statistical Software. 63, p. 1-48 48 p., 7.

    Research output: Contribution to Journal/MagazineSpecial issuepeer-review

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