DataSHIELD: Resolving a conflict in contemporary bioscience-performing a pooled analysis of individual-level data without sharing the data

International Journal of Epidemiology

Volumn 39, Issue 5, 2010, Pages 1372-1382

  Wolfson, Michael ^a   Wallace, Susan E ^b,c   Masca, Nicholas ^d   Rowe, Geoff ^a   Sheehan, Nuala A ^d   Ferretti, Vincent ^c,e   LaFlamme, Philippe ^c,f   Tobin, Martin D ^d   Macleod, John ^g   Little, Julian ^c,h   Fortier, Isabel ^c,h,i   Knoppers, Bartha M ^b,c   Burton, Paul R ^c,d,f,h  

^a STATISTICS CANADA   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c University of Leicester ^*  (Canada)

^d UNIVERSITY OF LEICESTER   (United Kingdom)

^e ONTARIO INSTITUTE FOR CANCER RESEARCH   (Canada)

^f MCGILL UNIVERSITY   (Canada)

^g UNIVERSITY OF BRISTOL   (United Kingdom)

^h UNIVERSITY OF OTTAWA   (Canada)

ⁱ UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Analysis; Bioinformatics; Disclosure; Distributed computing; ELSI; Ethico legal; Generalized linear model; GLM; Identification; Individual level; Information technology; IT; Meta analysis; Pooling; Study level

Indexed keywords

ALGORITHM; BIOINFORMATICS; DATA INTERPRETATION; DATABASE; ETIOLOGY; HEALTH SERVICES; INFORMATION TECHNOLOGY; LIFESTYLE; META-ANALYSIS; SOCIOECONOMIC SURVEY;

ALGORITHM; ARTICLE; CONFLICT OF INTEREST; DATA ANALYSIS; DATA BASE; POOLED ANALYSIS; PRIORITY JOURNAL; STATISTICAL MODEL;

CAUSALITY; CONFIDENTIALITY; EPIDEMIOLOGIC METHODS; ETHICS, RESEARCH; HUMANS; INFORMATION STORAGE AND RETRIEVAL; META-ANALYSIS AS TOPIC; RESEARCH DESIGN;

EID: 78149243538     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyq111     Document Type: Article

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