ehm-lab/UKB-pm25deathlong

Gasparrini, AORCID logo (2025). ehm-lab/UKB-pm25deathlong. [Dataset]. Github. https://github.com/ehm-lab/UKB-pm25deathlong
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This repository stores the updated R code to reproduce the analysis presented in the article: Vanoli J, et al. Long-term associations between time-varying exposure to ambient PM2.5 and mortality: an analysis of the UK Biobank. Epidemiology. 2025;36(1):1-10. DOI: 10.1097/EDE.0000000000001796. The repo provides a series of R scripts that can be used to replicate the analysis described in the article (see section R scripts below). The main scripts included in the main folder Rcode can be used as a tutorial, and the user can run them to perform a simplified analysis illustrating the key steps using synthetic data. Additional scripts included in sub-folders are added to allow the complete replication of the study, although this would require access to the UKB database (see section Data below).

Alternative Title

An analysis of long-term mortality risks of air pollution in the UK Biobank

Keywords

Distributed lag models

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