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Marta Blangiardo
Marta Blangiardo
Professor of Biostatistics, MRC Centre for Environment and Health, Imperial College
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Year
A Bayesian analysis of the impact of air pollution episodes on cardio-respiratory hospital admissions in the Greater London area
M Blangiardo, S Richardson, J Gulliver, A Hansell
Statistical methods in medical research 20 (1), 69-80, 2011
162011
A Bayesian approach to modelling fine-scale spatial dynamics of non-state terrorism: world study, 2002-2013
A Python, J Illian, C Jones-Todd, M Blangiardo
arXiv preprint arXiv:1610.01215, 2016
182016
A Bayesian approach to modelling subnational spatial dynamics of worldwide non-state terrorism, 2010–2016
A Python, JB Illian, CM Jones-Todd, M Blangiardo
Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019
382019
A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips
M Blangiardo, S Richardson
BMC bioinformatics 9, 1-15, 2008
72008
A Bayesian detection model for chronic disease surveillance: application to COPD hospitalisation data
A Boulieri, M Blangiardo, A Hansell
ISEE Conference Abstracts 29 2017 (1), 234, 2017
2017
A Bayesian hierarchical small area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and …
EN Peterson, RC Nethery, T Padellini, JT Chen, BA Coull, FB Piel, ...
The Annals of Applied Statistics 18 (2), 1565-1595, 2024
52024
A Bayesian Interrupted Time Series framework for evaluating policy change on mental well-being: An application to England’s welfare reform
C Gascoigne, A Jeffery, Z Shao, S Geneletti, JB Kirkbride, G Baio, ...
Spatial and Spatio-temporal Epidemiology, 100662, 2024
2024
A Bayesian mixture modeling approach for public health surveillance
A Boulieri, JE Bennett, M Blangiardo
Biostatistics 21 (3), 369-383, 2020
162020
A Bayesian model for studying urban air pollution and respiratory symptoms in children
G Carreras, E Chellini, M Blangiardo
International Journal of Environment and Health 6 (2), 125-140, 2012
52012
A Bayesian model of time activity data to investigate health effect of air pollution in time series studies
M Blangiardo, A Hansell, S Richardson
Atmospheric Environment 45 (2), 379-386, 2011
462011
A Bayesian Spatio-Temporal framework to improve exposure measurements combining observed and numerical model output
M Pirani, J Gulliver, M Blangiardo
2002
A Bayesian spatio-temporal model for integrating multiple sources of covid burden
T Padellini, B Lehmann, M Blangiardo
Sapienza University of Rome-Department of Statistics, 47, 2021
2021
A Bayesian Spatio-Temporal Model For Policy Evaluation: A Novel Method For The Evaluation Of Waste Incineration Regulations On Birth Outcomes In England, Wales And Scotland
I Bakolis, N Best, R Ghosh, D Fecht, M Toledano, P Elliot, A Hansell, ...
ISEE Conference Abstracts 27 2015 (1), 2782, 2015
2015
A decade of child pedestrian safety in England: a bayesian spatio-temporal analysis
N Shoari, S Heydari, M Blangiardo
BMC public health 23 (1), 215, 2023
42023
A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution
O Baerenbold, M Meis, I Martínez‐Hernández, C Euán, WS Burr, ...
Environmetrics 34 (1), e2763, 2023
32023
A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales
A Python, A Bender, M Blangiardo, JB Illian, Y Lin, B Liu, TCD Lucas, ...
Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022
42022
A flexible hierarchical framework for improving inference in area‐referenced environmental health studies
M Pirani, AJ Mason, AL Hansell, S Richardson, M Blangiardo
Biometrical Journal 62 (7), 1650-1669, 2020
22020
A framework for estimating and visualising excess mortality during the COVID-19 pandemic
G Konstantinoudis, V Gómez-Rubio, M Cameletti, M Pirani, G Baio, ...
ArXiv, 2022
52022
A hierarchical modelling approach to assess multi pollutant effects in time-series studies
M Blangiardo, M Pirani, L Kanapka, A Hansell, G Fuller
PLoS One 14 (3), e0212565, 2019
142019
A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA
C Forlani, S Bhatt, M Cameletti, E Krainski, M Blangiardo
Environmetrics 31 (8), e2644, 2020
232020
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Articles 1–20