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Data-driven cluster analysis for identifying groups within users of anti-osteoporosis medication, using real-world primary care data.

Abstract:
Data-driven methods can be used for pattern recognition within a clinical population, enriching the existing analytical tools for clinical data analysis. We clustered anti-osteoporosis drug users with similar risk factors, to better determine the influence of therapy on their fracture risk
Publication status:
Published
Peer review status:
Reviewed (Other)
Version:
Accepted manuscript

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
Publisher:
International Society for Clinical Biostatistics Publisher's website
Publication date:
2017-07-05
Acceptance date:
2017-04-01
Pubs id:
pubs:709985
URN:
uri:bb6a7557-f1c1-4816-a8e2-1b868f459583
UUID:
uuid:bb6a7557-f1c1-4816-a8e2-1b868f459583
Local pid:
pubs:709985

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