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Dr Emmanuel Ogundimu

Senior Lecturer

Department: Mathematics, Physics and Electrical Engineering

I completed my PhD research in the Department of Statistics, University of Warwick in April 2013, and worked briefly as a Research Fellow in the department before joining the centre for statistics in medicine, University of Oxford for a 2-year research position. I joined Northumbria University in October 2015 as a lecturer in Statistics. I'm also a honorary NDORMS departmental research fellow in medical statistics at the University of Oxford.

Qualifications

  • Statistics PhD June 30 2013
  • Fellow (FHEA) Higher Education Academy (HEA) 2017

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • A robust imputation method for missing responses and covariates in sample selection models, Ogundimu, E., Collins, G. 1 Jan 2019, In: Statistical Methods in Medical Research
  • Prediction of default probability by using statistical models for rare events, Ogundimu, E. 22 Apr 2019, In: Journal of the Royal Statistical Society. Series A: Statistics in Society
  • Predictive performance of penalized beta regression model for continuous bounded outcomes, Ogundimu, E., Collins, G. 2018, In: Journal of Applied Statistics
  • Lower limb arthroplasty: can we produce a tool to predict outcome and failure, and is it cost-effective? An epidemiological study, Arden, N., Altman, D., Beard, D., Carr, A., Clarke, N., Collins, G., Cooper, C., Culliford, D., Delmestri, A., Garden, S., Griffin, T., Javaid, K., Judge, A., Latham, J., Mullee, M., Murray, D., Ogundimu, E., Pinedo-Villanueva, R., Price, A., Prieto-Alhambra, D., Raftery, J. 1 Jun 2017, In: Programme Grants for Applied Research
  • Adequate sample size for developing prediction models is not simply related to events per variable, Ogundimu, E., Altman, D., Collins, G. 1 Aug 2016, In: Journal of Clinical Epidemiology
  • A Sample Selection Model with Skew-normal Distribution, Ogundimu, E., Hutton, J. 16 Feb 2016, In: Scandinavian Journal of Statistics
  • A unified approach to multilevel sample selection models, Ogundimu, E., Hutton, J. 2 May 2016, In: Communications in Statistics - Theory and Methods
  • On modelling asymmetric data using two-piece sinh–arcsinh distributions, Rubio, F., Ogundimu, E., Hutton, J. 1 Aug 2016, In: Brazilian Journal of Probability and Statistics
  • Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model, Collins, G., Ogundimu, E., Cook, J., Le Manach, Y., Altman, D. 15 Oct 2016, In: Statistics in Medicine
  • Sample size considerations for the external validation of a multivariable prognostic model, Collins, G., Ogundimu, E., Altman, D. 30 Jan 2016, In: Statistics in Medicine

Research Themes and Scholarly Interests

  • Missing data methodology
  • Models for rare events
  • Applied predictive modelling/ Machine learning techniques in health research
  • Statistical distributions
  • Models for Longitudinal and Survival data
  • Biostatistics


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