Allen_et_al_2024_Prospective_study_design.pdf (236.82 kB)
Prospective study design and data analysis in UK Biobank
journal contribution
posted on 2024-02-20, 12:33 authored by Naomi Allen, Ben Lacey, Deborah Lawlor, Jill Pell, John Gallacher, Liam Smeeth, Paul Elliott, Paul Matthews, Ronan Lyons, Anthony Whetton, Anneke Lucassen, Matthew Hurles, Michael Chapman, Andrew Roddam, Natalie Fitzpatrick, Anna Hansell, Rebecca HardyRebecca Hardy, Riccardo Marioni, Valerie O'Donnell, Julie Williams, Cecilia Lindgren, Mark Effingham, Jonathan Sellors, John Danesh, Rory CollinsPopulation-based prospective studies, such as UK Biobank, are valuable for generating and testing hypotheses about the potential causes of human disease. We describe how UK Biobank’s study design, data access policies, and approaches to statistical analysis can help to minimize error and improve the interpretability of research findings, with implications for other population-based prospective studies being established worldwide.
Funding
Medical Research Council
Wellcome
British Heart Foundation
Cancer Research UK
National Institute for Health Research
NIHR Imperial Biomedical Research Centre
UK Dementia Research Institute
History
School
- Sport, Exercise and Health Sciences
Published in
Science Translational MedicineVolume
16Issue
729Publisher
American Association for the Advancement of ScienceVersion
- AM (Accepted Manuscript)
Rights holder
© The Authors, some rights reserved; exclusive licensee American Association for the Advancement of SciencePublisher statement
This is the author’s version of the work. It is posted under a Creative Commons Attribution 4.0 International Licence (CC BY). The definitive published version is available at https://doi.org/10.1126/scitranslmed.adf4428Acceptance date
2023-12-13Publication date
2024-01-10Copyright date
2024ISSN
1946-6234eISSN
1946-6242Publisher version
Language
- en
