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A Comparison of Multivariate Outlier Detection Methods for Clinical Laboratory Safety Data
Kay Penny
*
, Ian Jolliffe
*
Corresponding author for this work
Health Services Research Unit (HSRU)
Mathematical Science
Edinburgh Napier University
Research output
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Contribution to journal
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Article
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peer-review
72
Citations (Scopus)
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Dive into the research topics of 'A Comparison of Multivariate Outlier Detection Methods for Clinical Laboratory Safety Data'. Together they form a unique fingerprint.
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Mathematics
Multivariate Outliers
100%
Outlier Detection
84%
Safety
71%
Outlier
37%
Battery
17%
Contamination
14%
Monitor
14%
Multivariate Normal
13%
Sort
12%
Clinical Trials
12%
Proportion
11%
Simulation Study
8%
Observation
8%