Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/22297
Title: Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies.
Authors: Fortier, I
Doiron, D
Little, J
Ferretti, V
L'Heureux, F
Stolk, RP
Knoppers, BM
Hudson, TJ
Burton, PR
International Harmonization Initiative
First Published: Oct-2011
Citation: INT J EPIDEMIOL, 2011, 40 (5), pp. 1314-1328
Abstract: Proper understanding of the roles of, and interactions between genetic, lifestyle, environmental and psycho-social factors in determining the risk of development and/or progression of chronic diseases requires access to very large high-quality databases. Because of the financial, technical and time burdens related to developing and maintaining very large studies, the scientific community is increasingly synthesizing data from multiple studies to construct large databases. However, the data items collected by individual studies must be inferentially equivalent to be meaningfully synthesized. The DataSchema and Harmonization Platform for Epidemiological Research (DataSHaPER; http://www.datashaper.org) was developed to enable the rigorous assessment of the inferential equivalence, i.e. the potential for harmonization, of selected information from individual studies.
DOI Link: 10.1093/ije/dyr106
eISSN: 1464-3685
Links: http://hdl.handle.net/2381/22297
Type: Journal Article
Appears in Collections:Published Articles, Dept. of Health Sciences

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