Estimating parameters for probabilistic linkage of privacy-preserved datasets.

Saved in:
Bibliographic Details
Title: Estimating parameters for probabilistic linkage of privacy-preserved datasets.
Authors: Brown AP; Centre for Population Health Research, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia. adrian.brown@curtin.edu.au., Randall SM; Centre for Population Health Research, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia., Ferrante AM; Centre for Population Health Research, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia., Semmens JB; Centre for Population Health Research, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia., Boyd JH; Centre for Population Health Research, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia.
Source: BMC medical research methodology [BMC Med Res Methodol] 2017 Jul 10; Vol. 17 (1), pp. 95. Date of Electronic Publication: 2017 Jul 10.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first