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DataSHIELD: taking the analysis to the data, not the data to the analysis

Background: Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises...

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Detaylı Bibliyografya
Yayımlandı:Int J Epidemiol
Asıl Yazarlar: Gaye, Amadou, Marcon, Yannick, Isaeva, Julia, LaFlamme, Philippe, Turner, Andrew, Jones, Elinor M, Minion, Joel, Boyd, Andrew W, Newby, Christopher J, Nuotio, Marja-Liisa, Wilson, Rebecca, Butters, Oliver, Murtagh, Barnaby, Demir, Ipek, Doiron, Dany, Giepmans, Lisette, Wallace, Susan E, Budin-Ljøsne, Isabelle, Oliver Schmidt, Carsten, Boffetta, Paolo, Boniol, Mathieu, Bota, Maria, Carter, Kim W, deKlerk, Nick, Dibben, Chris, Francis, Richard W, Hiekkalinna, Tero, Hveem, Kristian, Kvaløy, Kirsti, Millar, Sean, Perry, Ivan J, Peters, Annette, Phillips, Catherine M, Popham, Frank, Raab, Gillian, Reischl, Eva, Sheehan, Nuala, Waldenberger, Melanie, Perola, Markus, van den Heuvel, Edwin, Macleod, John, Knoppers, Bartha M, Stolk, Ronald P, Fortier, Isabel, Harris, Jennifer R, Woffenbuttel, Bruce HR, Murtagh, Madeleine J, Ferretti, Vincent, Burton, Paul R
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2014
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4276062/
https://ncbi.nlm.nih.gov/pubmed/25261970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyu188
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