Literature DB >> 7237756

Suitability of control materials. General principles and methods of investigation.

J P Bretaudiere, G Dumont, R Rej, M Bailly.   

Abstract

We propose methods for characterizing the behavior of quality-control specimens. Candidate quality-control specimens and authentic patients' specimens were analyzed by various methods. Patients' specimens were chosen to be fully representative of those encountered, including subsets from persons who were healthy, had defined disease states, were in therapy, or whose specimens were lipemic, icteric, etc. The analytical methods chosen include those most commonly used as well as reference analytical methods. Procedures for characterizing the behavior of patients' specimens and candidate quality-control specimens are proposed and their applicability is demonstrated. The linear ratio method is a univariate graphical approach in which differences in accuracy among methods for any specimen or group of specimens are each displayed on a linear scale. Correspondence analysis is a descriptive multivariate statistical technique that allows both the specimens and the analytical methods to be characterized. The statistical techniques, in our application, allow the behavior of quality-control specimens to be assessed with respect to authentic patients' specimens without influencing the assessment process. Correspondence analysis provides a graphic representation by projecting both the specimens and the analytical methods on factorial planes. The appropriateness of te behavior of a quality-control specimen may be inferred from its position relative to those of authentic patients' specimens. These statistical techniques also provide some information regarding the specificity of analytical methods.

Entities:  

Mesh:

Year:  1981        PMID: 7237756

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  10 in total

1.  Reference materials and commutability.

Authors:  Hubert W Vesper; W Gregory Miller; Gary L Myers
Journal:  Clin Biochem Rev       Date:  2007-11

2.  Interrelatedness of 5S RNA sequences investigated by correspondence analysis.

Authors:  C A Mannella; J Frank; N Delihas
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

3.  A Comprehensive Statistical Framework for Determination of Commutability, Accuracy, and Agreement in Clinical DNAemia Assays.

Authors:  L Tang; Y Su; Z Gu; A M Caliendo; S Pounds; R T Hayden
Journal:  J Clin Microbiol       Date:  2019-01-02       Impact factor: 5.948

4.  Probabilistic principal component analysis with expectation maximization (PPCA-EM) facilitates volume classification and estimates the missing data.

Authors:  Lingbo Yu; Robert R Snapp; Teresa Ruiz; Michael Radermacher
Journal:  J Struct Biol       Date:  2010-04-10       Impact factor: 2.867

5.  Quantitative Assessment of Commutability for Clinical Viral Load Testing Using a Digital PCR-Based Reference Standard.

Authors:  L Tang; Y Sun; D Buelow; Z Gu; A M Caliendo; S Pounds; R T Hayden
Journal:  J Clin Microbiol       Date:  2016-04-13       Impact factor: 5.948

6.  Quantitative Inference of Commutability for Clinical Viral Load Testing.

Authors:  L Tang; Y Su; S Pounds; R T Hayden
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

7.  Matrix Matters: Assessment of Commutability among BK Virus Assays and Standards.

Authors:  R T Hayden; Y Su; J Boonyaratanakornkit; L Cook; Z Gu; K R Jerome; B A Pinsky; S S Sam; S K Tan; H Zhu; L Tang; A M Caliendo
Journal:  J Clin Microbiol       Date:  2022-08-23       Impact factor: 11.677

8.  Commutability of the First World Health Organization International Standard for Human Cytomegalovirus.

Authors:  R T Hayden; J Preiksaitis; Y Tong; X Pang; Y Sun; L Tang; L Cook; S Pounds; J Fryer; A M Caliendo
Journal:  J Clin Microbiol       Date:  2015-08-12       Impact factor: 5.948

9.  Impact of Fragmentation on Commutability of Epstein-Barr Virus and Cytomegalovirus Quantitative Standards.

Authors:  R T Hayden; L Tang; Y Su; L Cook; Z Gu; K R Jerome; J Boonyaratanakornkit; S Sam; S Pounds; A M Caliendo
Journal:  J Clin Microbiol       Date:  2019-12-23       Impact factor: 11.677

10.  Structural changes in muscle crossbridges accompanying force generation.

Authors:  K Hirose; C Franzini-Armstrong; Y E Goldman; J M Murray
Journal:  J Cell Biol       Date:  1994-11       Impact factor: 10.539

  10 in total

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