Comparative Judgement Modeling to map Forced Marriage at Local Levels
(2024)
Journal Article
Seymour, R., Nyarko-Agyei, A., McCabe, H., Severn, K., Sirl, D., Kypraios, T., & Taylor, A. (in press). Comparative Judgement Modeling to map Forced Marriage at Local Levels. Annals of Applied Statistics,
Professor THEODORE KYPRAIOS's Outputs (48)
Comparative judgement modeling to map forced marriage at local levels (2024)
Journal Article
Seymour, R., Nyarko-Agyei, A., Mccabe, H., Severn, K., Sirl, D., Kypraios, T., & Taylor, A. (in press). Comparative judgement modeling to map forced marriage at local levels. Annals of Applied Statistics,Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and violence against women and girls. We set out to map the risk of force... Read More about Comparative judgement modeling to map forced marriage at local levels.
A classical hypothesis test for assessing the homogeneity of disease transmission in stochastic epidemic models (2024)
Journal Article
Aristotelous, G., Kypraios, T., & O'Neill, P. D. (2025). A classical hypothesis test for assessing the homogeneity of disease transmission in stochastic epidemic models. Scandinavian Journal of Statistics, 52(1), 295-313. https://doi.org/10.1111/sjos.12743This paper addresses the problem of assessing the homogeneity of the disease transmission process in stochastic epidemic models in populations that are partitioned into social groups. We develop a classical hypothesis test for completed epidemics whi... Read More about A classical hypothesis test for assessing the homogeneity of disease transmission in stochastic epidemic models.
Modelling the impact of wastewater flows and management practices on antimicrobial resistance in dairy farms (2024)
Journal Article
Todman, H., Helliwell, R., King, L., Blanchard, A., Gray-Hammerton, C. J., Hooton, S. P., Baker, M., Margerison, J., Wilson, P., Dodd, C. E. R., Morris, C., Raman, S., Hudson, C., Kreft, J.-U., Hobman, J. L., Kypraios, T., & Stekel, D. J. (2024). Modelling the impact of wastewater flows and management practices on antimicrobial resistance in dairy farms. npj Antimicrobials & Resistance, 2(1), Article 13. https://doi.org/10.1038/s44259-024-00029-4Dairy slurry is a major source of environmental contamination with antimicrobial resistant genes and bacteria. We developed mathematical models and conducted on-farm research to explore the impact of wastewater flows and management practices on antim... Read More about Modelling the impact of wastewater flows and management practices on antimicrobial resistance in dairy farms.
Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting (2023)
Journal Article
Pople, D., Kypraios, T., Donker, T., Stoesser, N., Seale, A. C., George, R., Dodgson, A., Freeman, R., Hope, R., Walker, A. S., Hopkins, S., & Robotham, J. (2023). Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting. BMC Medicine, 21(1), Article 492. https://doi.org/10.1186/s12916-023-03007-1Background
Globally, detections of carbapenemase-producing Enterobacterales (CPE) colonisations and infections are increasing. The spread of these highly resistant bacteria poses a serious threat to public health. However, understanding of CPE trans... Read More about Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting.
Accelerating Bayesian inference for stochastic epidemic models using incidence data (2023)
Journal Article
Golightly, A., Wadkin, L. E., Whitaker, S. A., Baggaley, A. W., Parker, N. G., & Kypraios, T. (2023). Accelerating Bayesian inference for stochastic epidemic models using incidence data. Statistics and Computing, 33(6), Article 134. https://doi.org/10.1007/s11222-023-10311-6We consider the case of performing Bayesian inference for stochastic epidemic compartment models, using incomplete time course data consisting of incidence counts that are either the number of new infections or removals in time intervals of fixed len... Read More about Accelerating Bayesian inference for stochastic epidemic models using incidence data.
Bayesian Model Choice for Directional Data (2023)
Journal Article
Fallaize, C. J., & Kypraios, T. (2024). Bayesian Model Choice for Directional Data. Journal of Computational and Graphical Statistics, 33(1), 25-34. https://doi.org/10.1080/10618600.2023.2206076This article is concerned with the problem of choosing between competing models for directional data. In particular, we consider the question of whether or not two independent samples of axial data come from the same Bingham distribution. This is not... Read More about Bayesian Model Choice for Directional Data.
A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows (2023)
Journal Article
Thomas, M., Green, M., Kypraios, T., & Kaler, J. (2023). A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows. Journal of Dairy Science, https://doi.org/10.3168/jds.2021-21749Claw horn disruption lesions (CHDL) are a leading cause of lameness in dairy cattle, and the development, effect, and pathology of these lesions remains an open area of interest within dairy cattle health. Current literature typically attempts to mea... Read More about A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows.
Comparative Judgement Modeling to Map Forced Marriage at Local Levels (2023)
Preprint / Working Paper
Seymour, R., Nyarko-Agyei, A., Severn, K., McCabe, H., Kypraios, T., Sirl, D., & Taylor, A. Comparative Judgement Modeling to Map Forced Marriage at Local LevelsForcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and violence against women and girls. However, accessing information abou... Read More about Comparative Judgement Modeling to Map Forced Marriage at Local Levels.
Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models (2022)
Journal Article
Aristotelous, G., Kypraios, T., & O'Neill, P. D. (2023). Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models. Bayesian Analysis, 18(4), 1283-1310. https://doi.org/10.1214/22-ba1336We address the problem of assessing the fit of stochastic epidemic models to data. Two novel model assessment methods are developed, based on disease progression curves, namely the distance method and the position-time method. The methods are illustr... Read More about Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models.
Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control (2022)
Journal Article
Baker, M., Williams, A. D., Hooton, S. P., Helliwell, R., King, E., Dodsworth, T., María Baena-Nogueras, R., Warry, A., Ortori, C. A., Todman, H., Gray-Hammerton, C. J., C. W. Pritchard, A., Iles, E., Cook, R., Emes, R. D., Jones, M. A., Kypraios, T., West, H., Barrett, D. A., Ramsden, S. J., …Stekel, D. J. (2022). Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control. Environment International, 169, Article 107516. https://doi.org/10.1016/j.envint.2022.107516Waste from dairy production is one of the largest sources of contamination from antimicrobial resistant bacteria (ARB) and genes (ARGs) in many parts of the world. However, studies to date do not provide necessary evidence to inform antimicrobial res... Read More about Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control.
Bayesian nonparametric inference for heterogeneously mixing infectious disease models (2022)
Journal Article
Seymour, R. G., Kypraios, T., & O'Neill, P. D. (2022). Bayesian nonparametric inference for heterogeneously mixing infectious disease models. Proceedings of the National Academy of Sciences, 119(10), Article e2118425119. https://doi.org/10.1073/pnas.2118425119Infectious disease transmissionmodels require assumptions about how the pathogen spreads between individuals. These assumptions may be somewhat arbitrary, particularly when it comes to describing how transmission varies between individuals of differe... Read More about Bayesian nonparametric inference for heterogeneously mixing infectious disease models.
A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands (2021)
Journal Article
Seymour, R. G., Kypraios, T., O’Neill, P. D., & Hagenaars, T. J. (2021). A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands. Journal of the Royal Statistical Society: Series C, 70(5), 1323-1343. https://doi.org/10.1111/rssc.12515Infectious diseases on farms pose both public and animal health risks, so understanding how they spread between farms is crucial for developing disease control strategies to prevent future outbreaks. We develop novel Bayesian nonparametric methodolog... Read More about A Bayesian nonparametric analysis of the 2003 outbreak of highly pathogenic avian influenza in the Netherlands.
Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples (2021)
Journal Article
Mabwa, D., Gajjar, K., Furniss, D., Schiemer, R., Crane, R., Fallaize, C., Martin-Hirsch, P. L., Martin, F. L., Kypraios, T., Seddon, A. B., & Phang, S. (2021). Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples. Analyst, 146(18), 5631-5642. https://doi.org/10.1039/D1AN00833AThis study demonstrates a discrimination of endometrial cancer versus (non-cancerous) benign controls based on mid-infrared (MIR) spectroscopy of dried plasma or serum liquid samples. A detailed evaluation was performed of four discriminant methods (... Read More about Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples.
Predator size affects the intensity of mutual interference in a predatory mirid (2020)
Journal Article
Papanikolaou, N. E., Dervisoglou, S., Fantinou, A., Kypraios, T., Giakoumaki, V., & Perdikis, D. (2020). Predator size affects the intensity of mutual interference in a predatory mirid. Ecology and Evolution, 11(3), 1342-1351. https://doi.org/10.1002/ece3.71371. Interference competition occurs when access to an available resource is negatively affected by interactions with other individuals, where mutual interference involves individuals of the same species. The interactive phenomena among individuals may... Read More about Predator size affects the intensity of mutual interference in a predatory mirid.
On the mechanistic understanding of predator feeding behavior using the functional response concept (2020)
Journal Article
Papanikolaou, N. E., Broufas, G. D., Papachristos, D. P., Pappas, M. L., Kyriakaki, C., Samaras, K., & Kypraios, T. (2020). On the mechanistic understanding of predator feeding behavior using the functional response concept. Ecosphere, 11(5), Article e03147. https://doi.org/10.1002/ecs2.3147
The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisons (2020)
Preprint / Working Paper
Genitsaridi, E., Kypraios, T., Edvall, N. K., Trpchevska, N., Canlon, B., Hoare, D. J., Cederroth, C., & Hall, D. A. The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisonsThe spatial percept of tinnitus is hypothesized as an important variable for tinnitus subtyping. Hearing asymmetry often associates with tinnitus laterality, but not always. One of the methodological limitations for cross-study comparisons is how the... Read More about The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisons.
Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole‐genome‐sequence data (2020)
Journal Article
Cassidy, R., Kypraios, T., & O'Neill, P. D. (2020). Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole‐genome‐sequence data. Statistics in Medicine, 39(12), 1746-1765. https://doi.org/10.1002/sim.8510Whole genome sequencing of pathogens in outbreaks of infectious disease provides the potential to reconstruct transmission pathways and enhance the information contained in conventional epidemiological data. In recent years there have been numerous n... Read More about Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole‐genome‐sequence data.
Pair-based likelihood approximations for stochastic epidemic models (2019)
Journal Article
Stockdale, J. E., Kypraios, T., & O'Neill, P. D. (2021). Pair-based likelihood approximations for stochastic epidemic models. Biostatistics, 22(3), 575-597. https://doi.org/10.1093/biostatistics/kxz053Fitting stochastic epidemic models to data is a non-standard problem because data on the infection processes defined in such models are rarely observed directly. This in turn means that the likelihood of the observed data is intractable in the sense... Read More about Pair-based likelihood approximations for stochastic epidemic models.
A statistical view on calcium oscillations (2019)
Journal Article
Powell, J., Falcke, M., Skupin, A., Bellamy, T., Kypraios, T., & Thul, R. (2019). A statistical view on calcium oscillations. Advances in Experimental Medicine and Biology, 1131, 799-826. https://doi.org/10.1007/978-3-030-12457-1_32Transient rises and falls of the intracellular calcium concentration have been observed in numerous cell types and under a plethora of conditions. There is now a growing body of evidence that these whole-cell calcium oscillations are stochastic, whic... Read More about A statistical view on calcium oscillations.