Dr Miguel Juarez
School of Mathematics and Statistics
Lecturer
+44 114 222 3908
Full contact details
School of Mathematics and Statistics
I13
Hicks Building
Hounsfield Road
Sheffield
S3 7RH
- Profile
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Miguel obtained a PhD in Mathematical Sciences (Statistics) from Universidad de Valencia, Spain in 2004 with a dissertation in Objective Bayesian methods for point estimation and hypothesis testing.
From 2005-2008 he was a research fellow in the Statistics department at University of Warwick dealing with models for panel data that incorporate skewness and heavy tails.
In 2008 he moved to the Warwick Systems Biology Centre as a research fellow in Bayesian analysis of biological data, with a special emphasis in developing models for gene regulatory networks.In 2010 he joined the School of Mathematics and Statistics as a lecturer in Statistics.
- Research interests
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Bayesian statistics. Hierarchical modelling for panel and longitudinal data. Image analysis for super-resolution microscopy. In silico augmented clinical trials
- Publications
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Show: Featured publications All publications
Featured publications
Journal articles
- Bayesian augmented clinical trials in TB therapeutic vaccination. Frontiers in Medical Technology, 3. View this article in WRRO
- Estimation of the Pareto and related distributions – A reference-intrinsic approach. Communications in Statistics - Theory and Methods.
- POSITION PAPER : Credibility of in silico trial technologies - a theoretical framing. IEEE Journal of Biomedical and Health Informatics, 24(1), 4-13.
- A Novel Application of Non-Destructive Readout Technology to Localisation Microscopy.. Scientific Reports, 7.
All publications
Journal articles
- Bayesian augmented clinical trials in TB therapeutic vaccination. Frontiers in Medical Technology, 3. View this article in WRRO
- Verification of an agent-based disease model of human mycobacterium tuberculosis infection. International Journal for Numerical Methods in Biomedical Engineering, 37(7).
- Estimation of the Pareto and related distributions – A reference-intrinsic approach. Communications in Statistics - Theory and Methods.
- Generation of digital patients for the simulation of tuberculosis with UISS-TB. BMC Bioinformatics, 21(S17).
- Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB. BMC Bioinformatics, 21(S17).
- POSITION PAPER : Credibility of in silico trial technologies - a theoretical framing. IEEE Journal of Biomedical and Health Informatics, 24(1), 4-13.
- Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies. Genetic Epidemiology. View this article in WRRO
- A Novel Application of Non-Destructive Readout Technology to Localisation Microscopy.. Scientific Reports, 7.
- Detecting Genetic Mosaicism in Cultures of Human Pluripotent Stem Cells.. Stem Cell Reports, 7(5), 998-1012. View this article in WRRO
- The dynamic architecture of the metabolic switch in Streptomyces coelicolor. BMC Genomics, 11(1), 10-10.
- On reverse engineering of gene interaction networks using time course data with repeated measurements. Bioinformatics, 26(18), 2305-2312.
- NonGaussian dynamic Bayesian modelling for panel data. Journal of Applied Econometrics, 25(7), 1128-1154.
- Model-based clustering of non-gaussian panel data based on skew-t distributions. Journal of Business and Economic Statistics, 28(1), 52-66.
- Directional log-spline distributions. Bayesian Analysis, 3, 267-315.
Chapters
Conference proceedings papers
- Generation of digital patients for the simulation of tuberculosis with UISS-TB. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18 November 2019 - 21 November 2019.
- Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18 November 2019 - 21 November 2019. View this article in WRRO
Datasets
Preprints
- Bayesian augmented clinical trials in TB therapeutic vaccination. Frontiers in Medical Technology, 3. View this article in WRRO
- Research group
- Teaching activities
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MAS360 Practical and Applied Statistics MAS464 Bayesian Statistics