NDLI: A multiclass multivariate group comparison test: Application to drug safety

Content Provider	IEEE Xplore Digital Library
Author	Tohme, M. Lengelle, R. Freytag, V.
Copyright Year	2010
Description	Author affiliation: Clin Data Management Clinical Research, Rue d'Alsace, zone artisanale, BP 20, 68250 Rouffach Cedex-France (Tohme, M.; Freytag, V.) \|\| Institut Charles Delaunay-UMR STMR CNRS 6279, Université de Technologie de Troyes, 12 rue Marie Curie, 10000, France (Lengelle, R.)
Abstract	Hypothesis tests are used to compare and show the efficiency of drugs. However, usual tests do not perform properly whenever the number of variables is greater than, or of the same order of magnitude as, the number of observations. In this paper, we propose an alternative to usual multiclass multivariate group comparison tests such as MANOVA or Wilcoxon tests. We present a pattern recognition approach to compare drugs in high dimensional spaces. Our test is based on the classification probability of error of a classifier. The decision statistics is obtained using the leave one out procedure. The statistics power density function has been experimentally shown independent from the data distribution under the null hypothesis, that allows to determine the threshold, or the p-values, of our test. This test has been applied on clinical data registered to ensure the safety side and tolerability of drugs tested.
Starting Page	4711
Ending Page	4714
File Size	348461
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs Pattern recognition Safety Detectors Stability analysis Probability density function Covariance matrix
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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