Dr Emmanuel Ogundimu's Outputs (3)

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study (2015)
Journal Article
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

After developing a prognostic model, it is essential to evaluate the performance of the model in samples independent from those used to develop the model, which is often referred to as external validation. However, despite its importance, very little... Read More about Sample size considerations for the external validation of a multivariable prognostic model: a resampling study.

A Sample Selection Model with Skew-normal Distribution (2015)
Journal Article
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

Non-random sampling is a source of bias in empirical research. It is common for the outcomes of interest (e.g. wage distribution) to be skewed in the source population. Sometimes, the outcomes are further subjected to sample selection, which is a typ... Read More about A Sample Selection Model with Skew-normal Distribution.

On the extended two-parameter generalized skew-normal distribution (2015)
Journal Article
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

We propose a three-parameter skew-normal distribution, obtained by using hidden truncation on a skew-normal random variable. The hidden truncation framework permits direct interpretation of the model parameters. A link is established between the mode... Read More about On the extended two-parameter generalized skew-normal distribution.