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(PhD Otago)

Office: Science III, room 237
Tel +64 3 479 7779


I am an Associate Professor in the Department of Mathematics and Statistics at the University of Otago. Before moving to Otago, I held positions at the University of Kentucky and Columbia University.

For more information please visit my personal webpage

Research Interests

My research involves the use of statistical modelling in various scientific disciplines with a focus on the use of Bayesian approaches. Recent application areas include ecology, environmental sciences, biomechanics, biological sciences and genetics.


Schofield, M. R., Barker, R. J., Link, W. A., & Pavanato, H. (2023). Estimating population size: The importance of model and estimator choice. Biometrics. Advance online publication. doi: 10.1111/biom.13828

Pohl, A. J., Schofield, M. R., & Ferber, R. (2022). A generalised smoothing approach for continuous, planar, inverse kinematics problems. Journal of Biomechanics. Advance online publication. doi: 10.1016/j.jbiomech.2022.111158

Schofield, M. R., Maze, M. J., Crump, J. A., Rubach, M. P., Galloway, R., & Sharples, K. J. (2021). On the robustness of latent class models for diagnostic testing with no gold standard. Statistics in Medicine, 40, 4751-4763. doi: 10.1002/sim.8999

Holmes, J. B., Schofield, M. R., & Barker, R. J. (2022). Pólya‐gamma data augmentation and latent variable models for multivariate binomial data. Journal of the Royal Statistical Society: Series C, 71, 194-218. doi: 10.1111/rssc.12528

Efford, M. G., & Schofield, M. R. (2020). A spatial open-population capture-recapture model. Biometrics, 76, 394-402. doi: 10.1111/biom.13150

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