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Exploratory data analysis for outlier detection in bioequivalence studies

Paper ID Volume ID Publish Year Pages File Format Full-Text
5249 355 2013 7 PDF Available
Title
Exploratory data analysis for outlier detection in bioequivalence studies
Abstract

Exploratory Data Analysis techniques are recognized as useful tools in outlier detection through visual representations. One limitation of this direction is the lack of studies concerning the reliability of the visual interpretation. In this paper we propose a method that combines an Exploratory Data Analysis technique, Andrews curves, with a statistical approach which can be applied to automatically classify the data. Using a simulation study we show that the results provided by the Andrews curves approach are markedly superior to the estimates distance test (the best proposed method for detecting outliers revealed in the literature) for the crossover bioequivalence design.

Keywords
Outlier detection; Bioequivalence studies; Crossover design; Andrews curves; Estimates distance
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biocybernetics and Biomedical Engineering - Volume 33, Issue 3, 2013, Pages 164–170
Authors
,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us