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Institute of Applied Data Science

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Dr Silvia Liverani

Silvia Liverani

Senior Lecturer in Statistics & Turing Fellow

School of Mathematical Sciences
Queens’ Building, Room: W418
+44 (0)20 7882 3370

www.qmul.ac.uk/maths/profiles/liveranis.html

Research

Bayesian methods, graphical regulatory models, data-centric solutions, clustering and spatial statistics, Bayesian non-parametric clustering methods

Interests

Her research interests include Bayesian methods, clustering and spatial statistics, with applications to many areas including Epidemiology and Genetics. Her work to date has focused on Bayesian clustering models, in particular Dirichlet process clustering and conjugate agglomerative hierarchical clustering. A related area of interest is the search and representation of uncertainty in the partition space. She is currently conducting research on several developments for spatial-temporal models and survival response models. She has worked and continues to work in very diverse areas of application including genetics, epidemiology, road traffic accidents, football and environmental health.

Publications

Publications of specific relevance to Applied Data Science

2021

Gramatica M, Congdon P and Liverani S (2021). Bayesian modelling for spatially misaligned health areal data: A multiple membership approach. Wiley  Journal of The Royal Statistical Society: Series C (Applied Statistics)  vol. 70, (3) 645-666. 10.1111/rssc.12480

2020

Bonaventura M, Ciotti V, Panzarasa P, Liverani S, Lacasa L and Latora V (2020). Predicting success in the worldwide start-up network. Scientific Reports  vol. 10, (1) 10.1038/s41598-019-57209-w
Lavigne A, Freni-Sterrantino A, Fecht D, Liverani S, Blangiardo M, de Hoogh K, Molitor J and Hansell AL (2020). A spatial joint analysis of metal constituents of ambient particulate matter and mortality in England. Environmental Epidemiology (Philadelphia, Pa.)  vol. 4, (4) 10.1097/ee9.0000000000000098
Liu X, Liverani S, Smith KJ and Yu K (2020). Modeling tails for collinear data with outliers in the English Longitudinal Study of Ageing: Quantile profile regression. Biometrical Journal. Biometrische Zeitschrift  vol. 62, (4) 916-931. 10.1002/bimj.201900146
Liverani S, Leigh L, Hudson IL and Byles JE (2020). Clustering method for censored and collinear survival data. Springer Science and Business Media Llc  Computational Statistics  vol. 36, (1) 35-60. 10.1007/s00180-020-01000-3
Ali RL, Qureshi NA, Liverani S, Roney CH, Kim S, Lim PB, Tweedy JH, Cantwell CD and Peters NS (2020). Left Atrial Enhancement Correlates With Myocardial Conduction Velocity in Patients With Persistent Atrial Fibrillation. Frontiers in Physiology  vol. 11, 10.3389/fphys.2020.570203

2019

(2019). Incidence of falls among adults with cerebral palsy: a cohort study using primary care data. Wiley  Developmental Medicine & Child Neurology  vol. 62, (4) 477-482. 10.1111/dmcn.14444
Lavigne A, Freni Sterrantino A, Liverani S, Blangiardo M, de Hoogh K, Molitor J and Hansell A (2019). Associations between metal constituents of ambient particulate matter and mortality in England: an ecological study. Bmj Open  vol. 9, (12) 10.1136/bmjopen-2019-030140
(2019). Noncommunicable disease among adults with cerebral palsy: A matched cohort study. Neurology  vol. 93, (14) e1385-e1396. 10.1212/wnl.0000000000008199
(2019). Mortality due to cardiovascular disease, respiratory disease, and cancer in adults with cerebral palsy. Dev Med Child Neurol  vol. 61, (8) 924-928. 10.1111/dmcn.14176
(2019). Incidence of osteoarthritis, osteoporosis and inflammatory musculoskeletal diseases in adults with cerebral palsy: A population-based cohort study. Bone  vol. 125, 30-35. 10.1016/j.bone.2019.05.007
(2019). Risk of Depression and Anxiety in Adults With Cerebral Palsy. Jama Neurology  vol. 76, (3) 294-300. 10.1001/jamaneurol.2018.4147

2018

Silberzahn R, Uhlmann EL, Martin DP, Anselmi P, Aust F, Awtrey E, Bahník Š, Bai F, Bannard C, Bonnier E, Carlsson R, Cheung F, Christensen G, Clay R, Craig MA, Dalla Rosa A, Dam L, Evans MH, Flores Cervantes I, Fong N, Gamez-Djokic M, Glenz A, Gordon-McKeon S, Heaton TJ, Hederos K, Heene M, Hofelich Mohr AJ, Högden F, Hui K and Johannesson M (2018). Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. Sage Publications  Advances in Methods and Practices in Psychological Science  vol. 1, (3) 337-356. 10.1177/2515245917747646
Edwards KD, Takata N, Johansson M, Jurca M, Novák O, Hényková E, Liverani S, Kozarewa I, Strnad M, Millar AJ, Ljung K and Eriksson ME (2018). Circadian clock components control daily growth activities by modulating cytokinin levels and cell division-associated gene expression in Populus trees. Plant Cell Environ  vol. 41, (6) 1468-1482. 10.1111/pce.13185
Coker E, Liverani S, Su JG and Molitor J (2018). Multi-pollutant Modeling Through Examination of Susceptible Subpopulations Using Profile Regression. Current Environmental Health Reports  vol. 5, (1) 59-69. 10.1007/s40572-018-0177-0

2017

Hirth M, Liverani S, Mahlow S, Bouget F-Y, Pohnert G and Sasso S (2017). Metabolic profiling identifies trehalose as an abundant and diurnally fluctuating metabolite in the microalga Ostreococcus tauri. Metabolomics : Official Journal of The Metabolomic Society  vol. 13, (6) 10.1007/s11306-017-1203-1
Boulieri A, Liverani S, de Hoogh K and Blangiardo M (2017). A space–time multivariate Bayesian model to analyse road traffic accidents by severity. Journal of The Royal Statistical Society. Series a: Statistics in Society  vol. 180, (1) 119-139. 10.1111/rssa.12178

2016

Liverani S and Smith JQ (2016). Bayesian selection of graphical regulatory models. Elsevier Bv  International Journal of Approximate Reasoning  vol. 77, 87-104. 10.1016/j.ijar.2016.05.007
Liverani S, Lavigne A and Blangiardo M (2016). Modelling collinear and spatially correlated data. Spatial and Spatio-Temporal Epidemiology  vol. 18, 63-73. 10.1016/j.sste.2016.04.003
Mattei F, Liverani S, Guida F, Matrat M, Cenee S, Azizi L, Menvielle G, Sanchez M, Pilorget C, Lapotre-Ledoux B, Luce D, Richardson S, Stucker I and Grp ICARES (2016). Multidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE study. Occupational and Environmental Medicine  vol. 73, (6) 368-377. 10.1136/oemed-2015-103177
Coker E, Liverani S, Ghosh JK, Jerrett M, Beckerman B, Li A, Ritz B and Molitor J (2016). Multi-pollutant exposure profiles associated with term low birth weight in Los Angeles County. Environment International  vol. 91, 1-13. 10.1016/j.envint.2016.02.011

2015

Coker E, Ghosh J, Jerrett M, Gomez-Rubio V, Beckerman B, Cockburn M, Liverani S, Su J, Li A, Kile ML, Ritz B and Molitor J (2015). Modeling spatial effects of PM2.5 on term low birth weight in Los Angeles County. Environmental Research  vol. 142, 354-364. 10.1016/j.envres.2015.06.044
Hastie DI, Liverani S and Richardson S (2015). Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations. Statistics and Computing  vol. 25, (5) 1023-1037. 10.1007/s11222-014-9471-3
Pirani M, Best N, Blangiardo M, Liverani S, Atkinson RW and Fuller GW (2015). Analysing the health effects of simultaneous exposure to physical and chemical properties of airborne particles. Environment International  vol. 79, 56-64. 10.1016/j.envint.2015.02.010
Liverani S, Hastie DI, Azizi L, Papathomas M and Richardson S (2015). Premium: An R package for profile regression mixture models using dirichlet processes. Journal of Statistical Software  vol. 64, (7) 1-30. 10.18637/jss.v064.i07

2014

Molitor J, Brown IJ, Chan Q, Papathomas M, Liverani S, Molitor N, Richardson S, Van Horn L, Daviglus ML, Dyer A, Stamler J and Elliott P (2014). Blood pressure differences associated with Optimal Macronutrient Intake Trial for Heart Health (OMNIHEART)-like diet compared with a typical American diet. Hypertension  vol. 64, (6) 1198-1204. 10.1161/HYPERTENSIONAHA.114.03799

2013

Hastie DI, Liverani S, Azizi L, Richardson S and Stücker I (2013). A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: Application to smoking and lung cancer. Bmc Medical Research Methodology  vol. 13, (1) 10.1186/1471-2288-13-129

2010

Monnier A, Liverani S, Bouvet R, Jesson B, Smith JQ, Mosser J, Corellou F and Bouget FY (2010). Orchestrated transcription of biological processes in the marine picoeukaryote Ostreococcus exposed to light/dark cycles. Bmc Genomics  vol. 11, (1) 10.1186/1471-2164-11-192

2009

Liverani S, Anderson PE, Edwards KD, Millar AJ and Smith JQ (2009). Efficient utility-based clustering over high dimensional partition spaces. Bayesian Analysis  vol. 4, (3) 539-572. 10.1214/09-BA420

2008

Smith JQ, Anderson PE and Liverani S (2008). Separation measures and the geometry of bayes factor selection for classification. Journal of The Royal Statistical Society. Series B: Statistical Methodology  vol. 70, (5) 957-980. 10.1111/j.1467-9868.2008.00664.x

Grants

Grants of specific relevance to Applied Data Science
Genetically-Informed Envirotyping Tools to Better Match Test and Target Environments
Liverani S
US Department of Agriculture (01-02-2017 - 31-01-2020)