Dr Pierre Masselot
BSc MSc PhD
Research Fellow
in Environmental Epidemiology and Statistics
Affiliations
Faculty of Public Health and Policy
Department of Public Health, Environments and Society
Research
My research includes statistical methodology and modelling of various environmental and health issues. My methodological work focuses on time series and regression modelling, having proposed EMD-regression and groupwise additive index models methodologies and estimation methods.
As an applied statistician, I have contributed to different fields including temperature or air pollution related mortality, warning systems for environmental extreme events, streamflow forecasting and sedimentation modelling. I considered various statistical methods including functional data analysis, extreme value modelling and tree-related machine learning models.
Research Area
Climate change
Decision analysis
Health impact analysis
Public health
Statistical methods
Water
Environmental Health
Methodology
Modelling
Discipline
Epidemiology
Statistics
Disease and Health Conditions
Cardiovascular disease
Country
Canada
United Kingdom
Region
World
Selected Publications
Differential Mortality Risks Associated With PM2.5 Components: A Multi-Country, Multi-City Study.
2022
Epidemiology (Cambridge, Mass.)
Machine Learning Approaches to Identify Thresholds in a Heat-Health Warning System Context
2021
Journal of the Royal Statistical Society: Series A (Statistics in Society)