🇬🇧 Assessing the short-term effects of air pollution on health: a causal inference perspective

• Lecture Series – Causal Inference Methods For Real-World Data

• Precision Health

Speakers

Prof. Michela
Baccini

Associate Professor of Medical Statistics
University of Florence

Abstract

This seminar will focus on the short-term effects of air pollution on human health. After a brief introduction to traditional regression-based methods for assessing exposure–response associations, I will formalize the problem within the potential outcomes framework for causal inference. I will then present examples illustrating how this approach can be used to estimate causal dose–response relationships and to perform health impact assessments by quantifying the number of attributable deaths under alternative exposure scenarios.

Download poster here

Responsible Scientist

Michela Bia

Luxembourg Institute of Socio-Economic Research (LISER)

LECTURE SERIES
Causal inference methods for real-world data 2025/2026

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