Detection of Outliers in Reference Distributions: Performance of Horn’s Algorithm
- 1 December 2005
- journal article
- Published by Oxford University Press (OUP) in Clinical Chemistry
- Vol. 51 (12) , 2326-2332
- https://doi.org/10.1373/clinchem.2005.058339
Abstract
Background: Medical laboratory reference data may be contaminated with outliers that should be eliminated before estimation of the reference interval. A statistical test for outliers has been proposed by Paul S. Horn and coworkers (Clin Chem 2001;47:2137–45). The algorithm operates in 2 steps: (a) mathematically transform the original data to approximate a gaussian distribution; and (b) establish detection limits (Tukey fences) based on the central part of the transformed distribution.Keywords
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