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Is rigorous retrosp...
Is rigorous retrospective harmonization possible? : Application of the DataSHaPER approach across 53 large studies
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- Fortier, Isabel (author)
- McGill Univ, Res Inst, Ctr Hlth, Montreal, PQ H3A 1A1, Canada.;Publ Populat Project Genom, Montreal, PQ, Canada.
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- Doiron, Dany (author)
- Publ Populat Project Genom, Montreal, PQ, Canada.
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- Little, Julian (author)
- McGill Univ, Res Inst, Ctr Hlth, Montreal, PQ H3A 1A1, Canada.;Univ Ottawa, Dept Epidemiol & Community Med, Ottawa, ON, Canada.
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- Ferretti, Vincent (author)
- MaRS Ctr, Ontario Inst Canc Res, Toronto, ON, Canada.
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- L'Heureux, Francois (author)
- Publ Populat Project Genom, Montreal, PQ, Canada.
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- Stolk, Ronald P. (author)
- Univ Groningen, Dept Epidemiol, Univ Med Ctr Groningen, Groningen, Netherlands.
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- Knoppers, Bartha M. (author)
- McGill Univ, Res Inst, Ctr Hlth, Montreal, PQ H3A 1A1, Canada.;McGill Univ, Dept Human Genet, Ctr Genom & Policy, Fac Med, Montreal, PQ H3A 1A1, Canada.
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- Hudson, Thomas J. (author)
- MaRS Ctr, Ontario Inst Canc Res, Toronto, ON, Canada.;Univ Toronto, Dept Med Biophys, Toronto, ON, Canada.;Univ Toronto, Dept Mol Genet, Toronto, ON, Canada.
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- Burton, Paul R. (author)
- Publ Populat Project Genom, Montreal, PQ, Canada.;Univ Leicester, Dept Hlth Sci, Leicester, Leics, England.;Univ Leicester, Dept Genet, Leicester LE1 7RH, Leics, England.
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McGill Univ, Res Inst, Ctr Hlth, Montreal, PQ H3A 1A1, Canada;Publ Populat Project Genom, Montreal, PQ, Canada. Publ Populat Project Genom, Montreal, PQ, Canada. (creator_code:org_t)
- 2011-07-30
- 2011
- English.
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In: International Journal of Epidemiology. - : OXFORD UNIV PRESS. - 0300-5771 .- 1464-3685. ; 40:5, s. 1314-1328
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Abstract
Subject headings
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- Methods This article examines the value of using the DataSHaPER for retrospective harmonization of established studies. Using the DataSHaPER approach, the potential to generate 148 harmonized variables from the questionnaires and physical measures collected in 53 large population-based studies (6.9 million participants) was assessed. Variable and study characteristics that might influence the potential for data synthesis were also explored. Results Out of all assessment items evaluated (148 variables for each of the 53 studies), 38% could be harmonized. Certain characteristics of variables (i.e. relative importance, individual targeted, reference period) and of studies (i.e. observational units, data collection start date and mode of questionnaire administration) were associated with the potential for harmonization. For example, for variables deemed to be essential, 62% of assessment items paired could be harmonized. Conclusion The current article shows that the DataSHaPER provides an effective and flexible approach for the retrospective harmonization of information across studies. To implement data synthesis, some additional scientific, ethico-legal and technical considerations must be addressed. The success of the DataSHaPER as a harmonization approach will depend on its continuing development and on the rigour and extent of its use. The DataSHaPER has the potential to take us closer to a truly collaborative epidemiology and offers the promise of enhanced research potential generated through synthesized databases.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Keyword
- Data synthesis
- data quality
- data pooling
- harmonization
- meta-analysis
- DataSHaPER
- retrospective harmonization
Publication and Content Type
- ref (subject category)
- art (subject category)
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