eprintid: 10195638
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/19/56/38
datestamp: 2024-08-12 11:06:28
lastmod: 2024-08-12 11:06:28
status_changed: 2024-08-12 11:06:28
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Allen, NE
creators_name: Lacey, B
creators_name: Lawlor, DA
creators_name: Pell, JP
creators_name: Gallacher, J
creators_name: Smeeth, L
creators_name: Elliott, P
creators_name: Matthews, PM
creators_name: Lyons, RA
creators_name: Whetton, AD
creators_name: Lucassen, A
creators_name: Hurles, ME
creators_name: Chapman, M
creators_name: Roddam, AW
creators_name: Fitzpatrick, NK
creators_name: Hansell, AL
creators_name: Hardy, R
creators_name: Marioni, RE
creators_name: O'Donnell, VB
creators_name: Williams, J
creators_name: Lindgren, CM
creators_name: Effingham, M
creators_name: Sellors, J
creators_name: Danesh, J
creators_name: Collins, R
title: Prospective study design and data analysis in UK Biobank
ispublished: pub
divisions: UCL
divisions: B16
divisions: B02
divisions: B14
divisions: J81
divisions: DD4
divisions: J73
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
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.
date: 2024-01-10
date_type: published
publisher: American Association for the Advancement of Science
official_url: https://doi.org/10.1126/scitranslmed.adf4428
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2140723
doi: 10.1126/scitranslmed.adf4428
medium: Print-Electronic
lyricists_name: Hardy, Rebecca
lyricists_name: Fitzpatrick, Natalie
lyricists_id: RHARD63
lyricists_id: NKBOS44
actors_name: Fitzpatrick, Natalie
actors_id: NKBOS44
actors_role: owner
funding_acknowledgements: [Mrc, wellcome]; [British Heart Foundation]; [Cancer research UK]; [National institute for Health research]
full_text_status: public
publication: Science Translational Medicine
volume: 16
number: 729
article_number: eadf4428
event_location: United States
issn: 1946-6234
citation:        Allen, NE;    Lacey, B;    Lawlor, DA;    Pell, JP;    Gallacher, J;    Smeeth, L;    Elliott, P;                                                                         ... Collins, R; + view all <#>        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;   - view fewer <#>    (2024)    Prospective study design and data analysis in UK Biobank.                   Science Translational Medicine , 16  (729)    , Article eadf4428.  10.1126/scitranslmed.adf4428 <https://doi.org/10.1126/scitranslmed.adf4428>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10195638/1/nihms-1988190.pdf