Dr Xu Chen
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Email
xc23776@essex.ac.uk -
Telephone
+44 (0) 1206 874425
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Location
3A.528, Colchester Campus
Profile
Biography
Xu Chen is a neuroimaging statistician whose research focuses on developing statistical and computational methods to analyse large-scale brain imaging data. Dr Chen completed her PhD in Statistics at the University of Warwick and her postdoctoral training at Leiden University Medical Center and Maastricht University, respectively. She joined the University of Essex in 2023, and is currently working as a Lecturer in Data Science in the School of Mathematics, Statistics and Actuarial Science.
Qualifications
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PhD in Statistics University of Warwick, (2014)
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BSc in Information and Computational Science Shanghai University of Finance and Economics, (2009)
Appointments
University of Essex
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Lecturer in Data Science, School of Mathematics, Statistics and Actuarial Science (SMSAS), University of Essex (21/9/2023 - present)
Other academic
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Researcher, Biomedical Data Sciences, Leiden University Medical Center (1/2/2019 - present)
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Researcher, Cognitive Neuroscience, Maastricht University (15/1/2015 - 30/4/2018)
Research and professional activities
Research interests
Neuroimaging data analysis
Multiple testing
Imaging genetics
Conferences and presentations
The All-resolutions Inference (ARI) framework
2023 Annual Meeting of the Organization for Human Brain Mapping (OHBM 2023), Montréal, Canada, 22/7/2023
Teaching and supervision
Current teaching responsibilities
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Data Visualisation (MA304)
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Applied Statistics (MA321)
Publications
Publications (1)
Chen, X., Goeman, JJ., Krebs, TJP., Meijer, RJ. and Weeda, WD., (2022). Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference
Journal articles (8)
Goeman, JJ., Górecki, P., Monajemi, R., Chen, X., Nichols, TE. and Weeda, W., (2023). Cluster extent inference revisited: quantification and localisation of brain activity. Journal of the Royal Statistical Society Series B: Statistical Methodology. 85 (4), 1128-1153
Tian, J., Chen, X., Katsevich, E., Goeman, J. and Ramdas, A., (2023). Large‐scale simultaneous inference under dependence. Scandinavian Journal of Statistics. 50 (2), 750-796
Cai, M., Vesely, A., Chen, X., Li, L. and Goeman, JJ., (2022). NetTDP: permutation-based true discovery proportions for differential co-expression network analysis. Briefings in Bioinformatics. 23 (6), bbac417-
Kastrati, G., Rosén, J., Fredrikson, M., Chen, X., Kuja-Halkola, R., Larsson, H., Jensen, KB. and Åhs, F., (2022). Genetic influences on central and peripheral nervous system activity during fear conditioning. Translational Psychiatry. 12 (1), 95-
Kastrati, G., Rosén, J., Thompson, WH., Chen, X., Larsson, H., Nichols, TE., Tracey, I., Fransson, P., Åhs, F. and Jensen, KB., (2022). Genetic Influence on Nociceptive Processing in the Human Brain—A Twin Study. Cerebral Cortex. 32 (2), 266-274
Kastrati, G., Rosén, J., Fredrikson, M., Chen, X., Kuja-Halkola, R., Larsson, H., Jensen, KB. and Åhs, F., (2022). Correction: Genetic influences on central and peripheral nervous system activity during fear conditioning. Translational Psychiatry. 12 (1), 192-
Chen, X., Formisano, E., Blokland, GAM., Strike, LT., McMahon, KL., de Zubicaray, GI., Thompson, PM., Wright, MJ., Winkler, AM., Ge, T. and Nichols, TE., (2019). Accelerated estimation and permutation inference for ACE modeling. Human Brain Mapping. 40 (12), 3488-3507
Kochunov, P., Patel, B., Ganjgahi, H., Donohue, B., Ryan, M., Hong, EL., Chen, X., Adhikari, B., Jahanshad, N., Thompson, PM., Van’t Ent, D., den Braber, A., de Geus, EJC., Brouwer, RM., Boomsma, DI., Hulshoff Pol, HE., de Zubicaray, GI., McMahon, KL., Martin, NG., Wright, MJ. and Nichols, TE., (2019). Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Frontiers in Neuroinformatics. 13, 16-
