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My research interests are broadly the application and development of statistical methodology to real applied problems. I have specific areas of interest in: Bayesian statistics, Extreme Value Theory, nonparametric and quantile regression.
- Centre for Reading & Language @ Oxford (Professor Maggie Snowling) Research Group
- Oxford Study of Children's Communication Impairments Research Group
BSc (Hons) Mathematics, PhD Statistics
After completing a HND in Civil Engineering (2002) and degree in Mathematics (2005), I conducted my PhD research in applied statistics (2009) for a thesis entitled "Statistical techniques for extreme wave condition analysis in coastal design".
Between October 2008 and July 2009, I worked as a postdoctoral researcher for the Fetal Medicine Foundation. This role looked at novel pre-natal screening algorithms for Down’s Syndrome and Pre-eclampsia.
Before coming to Oxford, I previously held the role of Senior Research Fellow in Applied Statistics at the Centre for Biostatistics, Bioinformatics and Biomarkers, Plymouth University Schools of Medicine and Dentistry (Formerly Peninsula Medical School). This role was fully funded by a National Institute for Health Research (NIHR) Grant entitled "Clinical Trials Methods in Neurodegenerative Diseases". The focus of this research was the development of statistical models that showed individual differences in patient’s disease trajectories (stratified medicine).
I worked on the Wellcome Language and Reading Project under the supervision of Professor Maggie Snowling (CRL, University of Oxford) between January 2014 and January 2015.
Currently, I am working within OSCCI (Prof. Dorothy Bishop's research group) as a biostatistician.
Precursors of Reading Difficulties in Czech and Slovak Children At-Risk of Dyslexia.
Moll K. et al, (2016), Dyslexia, 22, 120 - 136
The development of executive function and language skills in the early school years.
Gooch D. et al, (2016), J Child Psychol Psychiatry, 57, 180 - 187
Problems in using p-curve analysis and text-mining to detect rate of p-hacking and evidential value.
Bishop DV. and Thompson PA., (2016), PeerJ, 4
Further evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes.
Pettigrew KA. et al, (2016), J Neurodev Disord, 8
CATALISE: A Multinational and Multidisciplinary Delphi Consensus Study. Identifying Language Impairments in Children.
Bishop DV. et al, (2016), PLoS One, 11