We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multivariable confounding adjustment in distributed data networks without sharing of patient-level data.
- Authors
Toh, Sengwee; Reichman, Marsha E; Houstoun, Monika; Ding, Xiao; Fireman, Bruce H; Gravel, Eric; Levenson, Mark; Li, Lingling; Moyneur, Erick; Shoaibi, Azadeh; Zornberg, Gwen; Hennessy, Sean
- Abstract
It is increasingly necessary to analyze data from multiple sources when conducting public health safety surveillance or comparative effectiveness research. However, security, privacy, proprietary, and legal concerns often reduce data holders' willingness to share highly granular information. We describe and compare two approaches that do not require sharing of patient-level information to adjust for confounding in multi-site studies.
- Publication
Pharmacoepidemiology and drug safety, 2013, Vol 22, Issue 11, p1171
- ISSN
1099-1557
- Publication type
Journal Article
- DOI
10.1002/pds.3483