Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies

Fortier, Isabel; R. Burton, Paul; J. Robson, Paula; Ferretti, Vincent; Little, Julian; L’Heureux, François; Deschênes, M.; Maria Knoppers, Bartha; Doiron, Dany; C. Keers, J.; Linksted, Pamela; R. Harris, Jennifer; Lachance, Geneviève; Boileau, Cathérine; L. Pedersen, Nancy; M. Hamilton, Carol; Hveem, Kristian; J. Borugian, Marilyn; P. Gallagher, Richard; McLaughlin, John; Parker, Louise; D. Potter, John; Gallacher, John; Kaaks, R.; Liu, Bette; Sprosen, Tim; Vilain, Aline; A. Atkinson, Stephanie; Rengifo, Andrea; F. Morton, Roscoe; Metspalu, Andres; Wichmann, H.‐Erich; S. Tremblay, Mark; L. Chisholm, Rex; C. García‐Montero, Andrés; L. Hillege, Hans; Litton, J.; J. Palmer, Lyle; Perola, Markus; H. R. Wolffenbuttel, Bruce; Peltonen, Laura‐Maria; J. Hudson, Thomas

doi:10.1093/ije/dyq139

Public

Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies

Published in International Journal of Epidemiology • Sep 2, 2010

Authors:

Isabel Fortier

Paul R. Burton

Paula J. Robson

Abstract

BACKGROUND: Vast sample sizes are often essential in the quest to disentangle the complex interplay of the genetic, lifestyle, environmental and social factors that determine the aetiology and progression of chronic diseases. The pooling of information between studies is therefore of central importa...

Subject

Harmonization

Biobank

Pooling

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!