The Application of Multivariate Analysis to Radioallergosorbent Test (RAST)

Multivariate statistical analyses using principal component analyses (PCA) and Mahalanobis' method were applied to the quality control of radioallergosorbent test (RAST) . Mites and foods allergen were analyzed by PCA method, and foods allergen were analyzed by Mahalanobis' method. The vas...

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Veröffentlicht in:RADIOISOTOPES 1986/09/15, Vol.35(9), pp.461-466
Hauptverfasser: YAMAMOTO, Hideaki, ARAI, Takashi, MASUDA, Kazuhiro, IKEI, Katsumi, HASHIMOTO, Hiroshi, TAGUCHI, Itsuo, KINOSHITA, Kojiro
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container_end_page 466
container_issue 9
container_start_page 461
container_title RADIOISOTOPES
container_volume 35
creator YAMAMOTO, Hideaki
ARAI, Takashi
MASUDA, Kazuhiro
IKEI, Katsumi
HASHIMOTO, Hiroshi
TAGUCHI, Itsuo
KINOSHITA, Kojiro
description Multivariate statistical analyses using principal component analyses (PCA) and Mahalanobis' method were applied to the quality control of radioallergosorbent test (RAST) . Mites and foods allergen were analyzed by PCA method, and foods allergen were analyzed by Mahalanobis' method. The vast differences in the distribution on titers among the mites and the foods were observed. To evaluate the results of a test and the quality of kits for test statistically, it should be better to use multivariate analyses such as PCA or Mahalanobis' method.
doi_str_mv 10.3769/radioisotopes.35.9_461
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subjects Allergens
Analysis of Variance
Humans
immunoglobulin E antibody
Mahalanobis' analysis
multivariate analysis
principal component analysis
quality control
radioallergosorbent test
Radioallergosorbent Test - methods
Radioimmunoassay - methods
title The Application of Multivariate Analysis to Radioallergosorbent Test (RAST)
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