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Volumn 455, Issue 2, 2002, Pages 253-265
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Application of multivariate methods to scalp hair metal data to distinguish between drug-free subjects and drug abusers
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Author keywords
Atomic absorption spectrometry; Cluster analysis; Human hair; Linear discriminant analysis; Principal component analysis; Soft independent modelling of class analogy; Trace elements
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Indexed keywords
ALUMINUM;
CADMIUM;
CALCIUM;
CHROMIUM;
COCAINE;
COPPER;
DIAMORPHINE;
LEAD;
MAGNESIUM;
MANGANESE;
NICKEL;
POTASSIUM;
SILVER;
SODIUM;
TRACE METAL;
ZINC;
ARTICLE;
ATOMIC ABSORPTION SPECTROMETRY;
ATOMIC EMISSION SPECTROMETRY;
CLINICAL ARTICLE;
CLUSTER ANALYSIS;
CONTROLLED STUDY;
DRUG ABUSE;
HUMAN;
METHODOLOGY;
MULTIPLE DRUG ABUSE;
MULTIVARIATE ANALYSIS;
POPULATION MODEL;
PREDICTION;
PRINCIPAL COMPONENT ANALYSIS;
PRIORITY JOURNAL;
SCALP HAIR;
STATISTICAL ANALYSIS;
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EID: 0037170680
PISSN: 00032670
EISSN: None
Source Type: Journal
DOI: 10.1016/S0003-2670(01)01610-5 Document Type: Article |
Times cited : (22)
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References (31)
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