Prospective study design and data analysis in UK Biobank

Allen, N. E. et al. (2024) Prospective study design and data analysis in UK Biobank. Science Translational Medicine, 16(729), eadf4428. (doi: 10.1126/scitranslmed.adf4428) (PMID:38198570)

Abstract

Population-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.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Pell, Professor Jill
• Authors: Allen, N. E., Lacey, B., Lawlor, D. A., Pell, J. P., Gallacher, J., Smeeth, L., Elliott, P., Matthews, P. M., Lyons, R. A., Whetton, A. D., Lucassen, A., Hurles, M. E., Chapman, M., Roddam, A. W., Fitzpatrick, N. K., Hansell, A. L., Hardy, R., Marioni, R. E., O’Donnell, V. B., Williams, J., Lindgren, C. M., Effingham, M., Sellors, J., Danesh, J., and Collins, R.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Public Health
• Journal Name: Science Translational Medicine
• Publisher: American Association for the Advancement of Science
• ISSN: 1946-6234
• ISSN (Online): 1946-6242