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Environmental epidemiology is a field of research that uses diverse statistical models to study the impact of pollutants on human health. After introducing the global aims of epidemiology, we will talk about the different models that are commonly used to estimate the association between a set of environmental variables and a health outcome. It will include an introduction on linear regression model, more advanced regression models (regularized, non-parametric), as well as dimensionality reduction techiques. An application on the Human Early Life Exposome dataset will be presented, regarding the association study between hundreds of environmental factors and a health score in children.