Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies

Isabel Fortier, Dany Doiron, Julian Little, Vincent Ferretti, François L'Heureux, Ronald P Stolk, Bartha M Knoppers, Thomas J Hudson, Paul R Burton, International Harmonization Initiative

Research output: Contribution to journalArticle (Academic Journal)

55 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1314-1328
Number of pages15
JournalInternational Journal of Epidemiology
Volume40
Issue number5
Early online date30 Jul 2011
DOIs
Publication statusPublished - Oct 2011

Keywords

  • Chronic Disease
  • Cohort Studies
  • Data Collection
  • Data Interpretation, Statistical
  • Databases, Factual
  • Epidemiologic Methods
  • Humans
  • Questionnaires
  • Retrospective Studies
  • Risk Factors

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