Imperial College London

DrMonicaPirani

Faculty of MedicineSchool of Public Health

Lecturer in Biostatistics
 
 
 
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Contact

 

+44 (0)20 7594 1177monica.pirani

 
 
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Location

 

526Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

My research is based upon the development of Bayesian statistical methods with primary application to environmental and health data.

Current methodological research focuses on spatial and spatio-temporal statistics, time-series analysis, methods for the integration of multi-scale sources of data and models for understanding the health consequences of exposure to (multiple) pollutants and changes in climate

Previous areas of work and research have included non-communicable disease epidemiology and sociology of health.


Publications

Journals

Blangiardo M, Pirani M, Kanapka L, et al., 2019, A hierarchical modelling approach to assess multi pollutant effects in time-series studies, Plos One, Vol:14, ISSN:1932-6203

Wang Y, Pirani M, Hansell A, et al., 2017, Using ecological propensity score to adjust for missing confounders in small area studies, Biostatistics, ISSN:1465-4644

Pirani M, Panton A, Purdie DA, et al., 2016, Modelling macronutrient dynamics in the Hampshire Avon river: a Bayesian approach to estimate seasonal variability and total flux, Science of the Total Environment, Vol:572, ISSN:0048-9697, Pages:1449-1460

Morandi G, Periche Tomas E, Pirani M, 2016, Mortality risk in alcoholic patients in northern Italy: comorbidity and treatment retention effects in a 30-year follow-up study, Alcohol and Alcoholism, Vol:51, ISSN:1464-3502, Pages:63-70

Pirani M, Best N, Blangiardo M, et al., 2015, Analysing the health effects of simultaneous exposure to physical and chemical properties of airborne particles, Environment International, Vol:79, ISSN:1873-6750, Pages:56-64

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