Literature DB >> 18852854

Imprecision profiling.

William A Sadler1.   

Abstract

* Imprecision profiles express precision characteristics of an assay over a range of concentration values. They can convert large quantities of potentially complex data into an easily interpreted graphical summary. * Imprecision profile estimation does not require precisely structured data. This implies that structured method evaluation data can be easily compared with, or merged with, less structured internal quality control (QC) data (or with data from any other source). * Although originally conceived for immunoassays, imprecision profiles could, in principle, be used as a summary method with any measurement system where precision varies with level of measurand.

Year:  2008        PMID: 18852854      PMCID: PMC2556580     

Source DB:  PubMed          Journal:  Clin Biochem Rev        ISSN: 0159-8090


  5 in total

1.  A pragmatic approach to estimating total analytical error of immunoassays.

Authors:  W A Sadler; M H Smith; L M Murray; J G Turner
Journal:  Clin Chem       Date:  1997-04       Impact factor: 8.327

2.  A method for direct estimation of imprecision profiles, with reference to immunoassay data.

Authors:  W A Sadler; M H Smith; H M Legge
Journal:  Clin Chem       Date:  1988-06       Impact factor: 8.327

3.  The radioimmunoassay of aldosterone in serum and urine: theoretical and practical aspects.

Authors:  R P Ekins; G B Newman; R Piyasena; P Banks; J D Slater
Journal:  J Steroid Biochem       Date:  1972-04       Impact factor: 4.292

4.  Simple procedures can markedly enhance automated immunoassay performance.

Authors:  G Ward; M White; P E Hickman
Journal:  Am J Clin Pathol       Date:  1994-07       Impact factor: 2.493

5.  Simplified approach to confidence limited in radioimmunassay.

Authors:  R C Baxter
Journal:  Clin Chem       Date:  1980-05       Impact factor: 8.327

  5 in total
  1 in total

1.  Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study.

Authors:  Mathias Streitz; Tewfik Miloud; Michael Kapinsky; Michael R Reed; Robert Magari; Edward K Geissler; James A Hutchinson; Katrin Vogt; Stephan Schlickeiser; Anders Handrup Kverneland; Christian Meisel; Hans-Dieter Volk; Birgit Sawitzki
Journal:  Transplant Res       Date:  2013-10-25
  1 in total

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