Causal Inference with compositional data » Luxembourg Institute of Health
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Causal inference with compositional data

14/11/2025 11:00 to 13:30
  • Lecture Series Cancer Research

Speakers

Georgia
Tomova

Research Fellow at the UCL Centre for Longitudinal Studies
Co-leader of the Causal Inference Interest Group

Abstract

Compositional data is a form of hierarchical data in which a whole (or a total) is the sum of its constituent components. Although compositional data can arise in any setting, they
are particularly common in health research, with typical examples including dietary, physical activity, or microbiome data. This type of data can bring a range of analytical and interpretational challenges which risks
results being misinterpreted.

In this talk, I will introduce compositional data using directed acrylic graphs (DAGs), outline the different types of causal effects that may be of interest in such data, and discuss suitable analytical approaches.

Download poster here
Host
Luxembourg Institute of Health
Department of Precision Health (DoPH)
Ageing, Cancer and Disparities (ACADI)
Responsible Scientist
Sophie
Pilleron

LOCATION

Lecture:
Room: Maison des Sciences Humaines
11, porte des sciences
L-4366 Esch- sur- Alzette, Luxembourg

LECTURE: 11:00am – 12:00pm

Webinar via Webex:
Event number: 2789 913 4500
Event password: 3y7hPPbtkf3

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MEET & EAT

12:00pm – 13:30pm

Room: Maison des Sciences Humaines
11, porte des sciences
L-4366 Esch- sur- Alzette, Luxembourg

Light lunch provided – *Please note that registration for Meet and Eat is mandatory via the following link:

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