X.1 Statistical developments

The characterisation of the exposome and of its health consequences defines a complex research framework, which requires the development of novel analytical strategies combining statistical, data science, and bioinformatic approaches. The cross-cutting theme on statistical developments will develop and implement new statistical tools that will be used in Exposome-NL. These tools will be made available via Bioconductor both internally and externally to Exposome-NL, and yearly training workshops will be organized to disseminate knowledge throughout Exposome-NL.  During the course of Exposome-NL new data challenges will arise and the project will adapt its research in later years based on identified unified data-problems within Exposome-NL. 


Linked shrinkage to improve estimation of interaction effects in regression models

Mark A. van de Wiel , Matteo Amestoy and Jeroen Hoogland
Epidemiologic Methods (2024)

Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models

Haykanush Ohanyan , Mark van de Wiel, Lützen Portengen, Alfred Wagtendonk, Nicolette R. den Braver, Trynke R. de Jong, Monique Verschuren, Katja van den Hurk, Karien Stronks, Eric Moll van Charante, Natasja M. van Schoor, Coen D.A. Stehouwer, Anke Wesselius, Annemarie Koster, Margreet ten Have, Brenda W.J.H. Penninx, Marieke F. van Wier, Irina Motoc, Albertine J. Oldehinkel, Gonneke Willemsen, Dorret I. Boomsma, Mariëlle A. Beenackers, Anke Huss, Martin van Boxtel, Gerard Hoek, Joline W.J. Beulens, Roel Vermeulen, and Jeroen Lakerveld
Environmental Health Perspectives, Volume 132, Issue 6 (2024)

Decoding the exposome

Decoding the exposome

The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...

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