gasparrini/UKB-confounding
Gasparrini, A
and Vanoli, J
(2025).
gasparrini/UKB-confounding.
[Dataset].
Github.
https://github.com/gasparrini/UKB-confounding
and Vanoli, J
(2025).
gasparrini/UKB-confounding.
[Dataset].
Github.
https://github.com/gasparrini/UKB-confounding
An theoretical and empirical evaluation of confounding mechanisms in the analysis of the health effects associated with long-term exposure to air pollution, with a case-study example using the UK Biobank cohort. This repository stores the updated R code to reproduce the analysis presented in the article: Vanoli J, et al. Confounding issues in air pollution epidemiology: an empirical assessment with the UK Biobank cohort. International Journal of Epidemiology. 2025;54(5):dyaf163. DOI: 10.1093/ije/dyaf163.
Alternative Title
A methodological assessment of confounding in studies of long-term risks of air pollution
Keywords
confounding; Air pollution; replication; methodological assessment| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 17 September 2025 |
| Language(s) of written materials | English |
| Creator(s) |
Gasparrini, A and Vanoli, J
|
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Public Health, Environments and Society |
| Research Centre |
Centre for Data and Statistical Science for Health Centre on Climate Change and Planetary Health |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 23 Sep 2025 10:02 |
| Last Modified | 23 Sep 2025 10:02 |
| Publisher | Github |
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