@article{discovery10195638,
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
            year = {2024},
           title = {Prospective study design and data analysis in UK Biobank},
          number = {729},
         journal = {Science Translational Medicine},
          volume = {16},
           month = {January},
       publisher = {American Association for the Advancement of Science},
            issn = {1946-6234},
          author = {Allen, NE and Lacey, B and Lawlor, DA and Pell, JP and Gallacher, J and Smeeth, L and Elliott, P and Matthews, PM and Lyons, RA and Whetton, AD and Lucassen, A and Hurles, ME and Chapman, M and Roddam, AW and Fitzpatrick, NK and Hansell, AL and Hardy, R and Marioni, RE and O'Donnell, VB and Williams, J and Lindgren, CM and Effingham, M and Sellors, J and Danesh, J and Collins, R},
             url = {https://doi.org/10.1126/scitranslmed.adf4428},
        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.}
}