Staff profile

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

• Statistics

Journal Article

• Dudley, Robert, Dodgson, Guy, Common, Stephanie, O'Grady, Lucy, Watson, Florence, Gibbs, Christopher, Arnott, Bronia, Fernyhough, Charles, Alderson-Day, Ben, Ogundimu, Emmanuel, Kharatikoopaei, Ehsan, Patton, Victoria & Aynsworth, Charlotte (2022). Managing Unusual Sensory Experiences in People with First-Episode Psychosis (MUSE FEP): a study protocol for a single-blind parallel-group randomised controlled feasibility trial. BMJ Open 12: e061827.
• Ogundimu, Emmanuel O. (2022). On Lasso and adaptive Lasso for non-random sample in credit scoring. Statistical Modelling
• Ogundimu, Emmanuel O. (2022). Regularization and variable selection in Heckman selection model. Statistical Papers 63(2): 421-439.
• Ogundimu, Emmanuel O. (2019). Prediction of default probability by using statistical models for rare events. Journal of the Royal Statistical Society: Series A (Statistics in Society) 182(4): 1143-1162.
• Ogundimu, Emmanuel O & Collins, Gary S (2019). A robust imputation method for missing responses and covariates in sample selection models. Statistical Methods in Medical Research 28(1): 102-116.
• Ogundimu, Emmanuel O. & Collins, Gary S. (2018). Predictive performance of penalized beta regression model for continuous bounded outcomes. Journal of Applied Statistics 45(6): 1030-1040.
• Ogundimu, Emmanuel O., Altman, Douglas G. & Collins, Gary S. (2016). Adequate sample size for developing prediction models is not simply related to events per variable. Journal of Clinical Epidemiology 76: 175.
• Rubio, F. J., Ogundimu, E. O. & Hutton, J. L. (2016). On modelling asymmetric data using two-piece sinh–arcsinh distributions. Brazilian Journal of Probability and Statistics 30(3): 485.
• Collins, Gary S., Ogundimu, Emmanuel O., Cook, Jonathan A., Manach, Yannick Le & Altman, Douglas 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.
• Ogundimu, Emmanuel O. & Hutton, Jane L. (2016). A unified approach to multilevel sample selection models. Communications in Statistics - Theory and Methods 45(9): 2592-2611.
• Akacha, Mouna & Ogundimu, Emmanuel O. (2016). Sensitivity analyses for partially observed recurrent event data. Pharmaceutical Statistics 15(1): 4.
• Ogundimu, Emmanuel O. & Hutton, Jane L. (2016). A Sample Selection Model with Skew-normal Distribution. Scandinavian Journal of Statistics 43(1): 172-190.
• Collins, Gary S., Ogundimu, Emmanuel O. & Altman, Douglas G. (2015). Sample size considerations for the external validation of a multivariable prognostic model: a resampling study. Statistics in Medicine 35(2): 214-226.
• Ogundimu, Emmanuel O. & Hutton, Jane L. (2015). On the extended two-parameter generalized skew-normal distribution. Statistics & Probability Letters 100: 142-148.