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Edmund holds a PhD in Computational Statistics from Bristol University. As a Senior Research Manager in the Research and Thought Leadership Division, he works in research related to computer-based tests, automated assessment, and detection of malpractice. He provides expertise in quantitative research methods for benchmarking and impact assessment projects for governmental education ministries.
Before joining Cambridge Assessment English, Edmund worked in the Department of Public Health and Primary Care at Cambridge University on statistical modelling of cardiovascular disease. He has also worked in Japan as an English teacher and a translator.
Jones, E and Xu, J (2019), Applying limits of agreement to validation of automated scoring of language performance, presentation at Language Testing Forum (LTF), Swansea, UK.
Jones, E and Chalton, R (2018), Using big data to counteract cheating on tests, presentation at International Association for Educational Assessment (IAEA) Annual Conference, Oxford, UK.
Xu, J and Jones, E (2018), Building a validity argument for automated speaking assessment: Where are we now?, presentation at European Association for Language Testing and Assessment (EALTA) Conference, Bochum, Germany.
Sweeting, M J, Masconi, K L, Jones, E, Ulug, P, Glover, M J, Michaels, J A, Bown, M J, Powell, J T and Thompson, S G (2018), Analysis of clinical benefit, harms, and cost-effectiveness of screening women for abdominal aortic aneurysm, Lancet 392 (10146), 487–495. https://doi.org/10.1016/S0140-6736(18)31222-4
Jones, E (2018), cchs: An R package for stratified case-cohort studies, R Journal 10 (1), 484–494. https://doi.org/10.32614/RJ-2018-012
Glover, M J, Jones, E [joint first author], Masconi, K L, Sweeting, M J, Thompson, S G and SWAN Collaborators (2018), Discrete event simulation for decision modelling in health care: lessons from abdominal aortic aneurysm screening, Medical Decision Making 38 (4), 439–451. https://doi.org/10.1177/0272989X17753380
Jones, E and Didelez, V (2017), Thinning a triangulation of a Bayesian network or undirected graph to create a minimal triangulation, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25 (3), 349–366. https://doi.org/10.1142/S0218488517500143
Jones, E, Sweeting, M J, Sharp, S J and Thompson, S G (2015), A method making fewer assumptions gave the most reliable estimates of exposure–outcome associations in stratified case–cohort studies, Journal of Clinical Epidemiology 68 (12), 1397–1405. https://doi.org/10.1016/j.jclinepi.2015.04.007