Autor: |
J C, Rymer, R, Sabatier, A, Daver, J, Bourleaud, M, Assicot, J, Bremond, J, Rapin, S L, Salhi, B, Thirion, A, Vassault, J, Ingrand, B, Pau |
Rok vydání: |
1999 |
Předmět: |
|
Zdroj: |
Clinical chemistry. 45(6 Pt 1) |
ISSN: |
0009-9147 |
Popis: |
Principal component analysis (PCA) is a powerful mathematical method able to analyze data sets containing a large number of variables. To our knowledge, this method is applied here for the first time in the field of medical laboratory analysis.PCA was used to evaluate the results of a blind comparative study of 21 carcinoembryonic antigen (CEA) reagent kits used to determine CEA concentration in a panel of sera from 80 patients.The mathematical technique first eliminated the variations attributable to the use of different calibrators. The PCA representation then gave a global view of the dispersion of the kits and allowed the identification of a main homogeneous group and of some discrepant kits.PCA applied to the in vitro diagnostic reagent field could contribute to the standardization process and improve the quality of medical laboratory analyses. A standardization method using a panel of patient sera is proposed. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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