Prospective study design and data analysis in UK Biobank

Allen NE., Lacey B., Lawlor DA., Pell JP., Gallacher J., Smeeth L., Elliott P., Matthews PM., Lyons RA., Whetton AD., Lucassen A., Hurles ME., Chapman M., Roddam AW., Fitzpatrick NK., Hansell AL., Hardy R., Marioni RE., O’Donnell VB., Williams J., Lindgren CM., Effingham M., Sellors J., Danesh J., Collins R.

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.

DOI

10.1126/scitranslmed.adf4428

Type

Journal article

Journal

Science Translational Medicine

Publisher

American Association for the Advancement of Science (AAAS)

Publication Date

10/01/2024

Volume

16

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