Staff profile

• Applied Statistics
• Biostatistics
• Machine Learning and Causal Inference
• Missing Data Methodology
• Models for Rare Events

Edited book

• Einbeck, J., Maeng, H., Ogundimu, E., & Perrakis, K. (Eds.). (2024). Developments in Statistical Modelling. Springer Nature. https://doi.org/10.1007/978-3-031-65723-8

Journal Article

• Grahame, V., Kernohan, A., Ehsan Kharati, . K., Mathias, A., Butcher, C., Dixon, L., Fletcher-Watson, S., Garland, D., Glod, M., Goodwin, J., Heron, S., Honey, E., Le Couteur, A., Mackie, L., Maxwell, J., Montgomery, L., Ogundimu, E., Probert, H., Riby, D., Rob, P., …Rodgers, J. (in press). Understanding Repetitive behaviours (URB): a clinical and cost effectiveness, multi-site randomised controlled trial of a group for parents and carers of young autistic children. Autism,
• Austin, D., Maier, R. H., Akhter, N., Sayari, M., Ogundimu, E., Maddox, J. M., Vahabi, S., Humphreys, A. C., Graham, J., Oxenham, H., Haney, S., Cresti, N., Verrill, M., Osborne, W., Wright, K. L., Goranova, R., Bailey, J. R., Kalakonda, N., Macheta, M., Kilner, M. F., …Plummer, C. (2024). Preventing Cardiac Damage in Patients Treated for Breast Cancer and Lymphoma: The PROACT Clinical Trial. Journal of the American College of Cardiology, 6(5), 684-696. https://doi.org/10.1016/j.jaccao.2024.07.010
• Ogundimu, E. O. (2024). On Lasso and adaptive Lasso for non-random sample in credit scoring. Statistical Modelling, 24(2), 115-138. https://doi.org/10.1177/1471082x221092181
• Akowuah, E., Wagnild, J., Bardgett, M., Prichard, J., Mathias, A., Harrison, S., Ogundimu, E., Hancock, H., & Maier, R. (2023). A randomised controlled trial of prehabilitation in patients undergoing elective cardiac surgery. Anaesthesia: Peri-operative medicine, critical care and pain, 78(9), 1120-1128. https://doi.org/10.1111/anae.16072
• Ogundimu, E. O. (2022). Regularization and variable selection in Heckman selection model. Statistical Papers, 63(2), 421-439. https://doi.org/10.1007/s00362-021-01246-z
• Ogundimu, E. O. (2019). Prediction of default probability by using statistical models for rare events. Journal of the Royal Statistical Society: Series A, 182(4), 1143-1162. https://doi.org/10.1111/rssa.12467
• Ogundimu, E. O., & Collins, G. S. (2019). A robust imputation method for missing responses and covariates in sample selection models. Statistical Methods in Medical Research, 28(1), 102-116. https://doi.org/10.1177/0962280217715663
• Ogundimu, E. O., & Collins, G. S. (2018). Predictive performance of penalized beta regression model for continuous bounded outcomes. Journal of Applied Statistics, 45(6), 1030-1040. https://doi.org/10.1080/02664763.2017.1339024
• Collins, G. S., Ogundimu, E. O., Cook, J. A., Manach, Y. L., & Altman, D. G. (2016). Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model. Statistics in Medicine, 35(23), 4124-4135. https://doi.org/10.1002/sim.6986
• Ogundimu, E. O., & Hutton, J. L. (2016). A Sample Selection Model with Skew-normal Distribution. Scandinavian Journal of Statistics, 43(1), 172-190. https://doi.org/10.1111/sjos.12171
• Collins, G. S., Ogundimu, E. O., & Altman, D. G. (2016). Sample size considerations for the external validation of a multivariable prognostic model: a resampling study. Statistics in Medicine, 35(2), 214-226. https://doi.org/10.1002/sim.6787
• Rubio, F., Ogundimu, E., & Hutton, J. (2016). On modelling asymmetric data using two-piece sinh–arcsinh distributions. Brazilian Journal of Probability and Statistics (Impresso), 30(3), https://doi.org/10.1214/15-bjps290
• Ogundimu, E. O., Altman, D. G., & Collins, G. S. (2016). Adequate sample size for developing prediction models is not simply related to events per variable. Journal of Clinical Epidemiology, 76, https://doi.org/10.1016/j.jclinepi.2016.02.031
• Akacha, M., & Ogundimu, E. O. (2016). Sensitivity analyses for partially observed recurrent event data. Pharmaceutical Statistics, 15(1), https://doi.org/10.1002/pst.1720
• Ogundimu, E. O., & Hutton, J. L. (2016). A unified approach to multilevel sample selection models. Communications in Statistics - Theory and Methods, 45(9), 2592-2611. https://doi.org/10.1080/03610926.2014.887108
• Ogundimu, E. O., & Hutton, J. L. (2015). On the extended two-parameter generalized skew-normal distribution. Statistics and Probability Letters, 100, 142-148. https://doi.org/10.1016/j.spl.2015.02.016