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Overview

Emmanuel Ogundimu

Assistant Professor in Statistics

PhD Warwick University


Affiliations
AffiliationRoom numberTelephone
Assistant Professor in Statistics in the Department of Mathematical SciencesCM114 

Research interests

  • Sample Selection Models
  • Machine Learning
  • Biostatistics
  • Models for Rare Events
  • Applied Statistics

Research groups

  • Probability & Statistics: Statistics
  • Probability and Statistics

Publications

Journal Article

  • 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.
  • Ogundimu, Emmanuel O. & Hutton, Jane L. (2015). On the extended two-parameter generalized skew-normal distribution. Statistics & Probability Letters 100: 142.
  • 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.
  • 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.
  • Ogundimu, Emmanuel O. & Hutton, Jane L. (2016). A unified approach to multilevel sample selection models. Communications in Statistics - Theory and Methods 45(9): 2592.
  • 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.
  • Ogundimu, Emmanuel O. & Hutton, Jane L. (2015). A Sample Selection Model with Skew-normal Distribution. Scandinavian Journal of Statistics 43(1): 172.
  • Akacha, Mouna & Ogundimu, Emmanuel O. (2015). Sensitivity analyses for partially observed recurrent event data. Pharmaceutical Statistics 15(1): 4.
  • 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.