Literature DB >> 18852855

Assessment of bias with emphasis on method comparison.

Roger Johnson1.   

Abstract

* Definition of bias - distinct from accuracy, bias is an average deviation from a true value. * Method comparison - a set of specimens is assayed by both an existing method and the new candidate method, and the results compared. The following list describes the testing procedures and data handling required in a method comparison study for the assessment of bias: test material; number and disposition of specimens; summary of findings; the problem with correlation, and the difference plot; statistics of difference; log transformation of the difference plot; statistics of difference with logs; linear regression; Deming and Passing-Bablok models; the value of r in linear regression; choice of statistics; examples of suitable computer programs. * Acceptable bias criteria are discussed. * Linearity and recovery - failing either of these criteria should serve as a warning that method comparison data may conceal an unrecognised bias. * Finally, consideration of all steps in the assessment of bias is required to determine acceptability or not of the method comparison.

Year:  2008        PMID: 18852855      PMCID: PMC2556581     

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


  8 in total

1.  Method comparison--a different approach.

Authors:  M A Pollock; S G Jefferson; J W Kane; K Lomax; G MacKinnon; C B Winnard
Journal:  Ann Clin Biochem       Date:  1992-09       Impact factor: 2.057

Review 2.  How to use difference plots in quantitative method comparison studies.

Authors:  Patrick J Twomey
Journal:  Ann Clin Biochem       Date:  2006-03       Impact factor: 2.057

3.  Standardisation--the theory and the practice.

Authors:  Jill Tate; Mauro Panteghini
Journal:  Clin Biochem Rev       Date:  2007-11

4.  Points of care in using statistics in method comparison studies.

Authors:  J O Westgard
Journal:  Clin Chem       Date:  1998-11       Impact factor: 8.327

5.  Validity of linear regression in method comparison studies: is it limited by the statistical model or the quality of the analytical input data?

Authors:  D Stöckl; K Dewitte; L M Thienpont
Journal:  Clin Chem       Date:  1998-11       Impact factor: 8.327

6.  Analysis of method comparison studies.

Authors:  S Hollis
Journal:  Ann Clin Biochem       Date:  1996-01       Impact factor: 2.057

Review 7.  Evaluation of commercial kits.

Authors:  J E Logan
Journal:  CRC Crit Rev Clin Lab Sci       Date:  1972-09

8.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

  8 in total
  10 in total

Review 1.  Validation of laboratory-developed molecular assays for infectious diseases.

Authors:  Eileen M Burd
Journal:  Clin Microbiol Rev       Date:  2010-07       Impact factor: 26.132

2.  Evaluation of imprecision, bias and total error of clinical chemistry analysers.

Authors:  S S Biswas; M Bindra; V Jain; P Gokhale
Journal:  Indian J Clin Biochem       Date:  2014-06-22

3.  Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown.

Authors:  Efisio Solazzo; Roberto Bianconi; Christian Hogrefe; Gabriele Curci; Paolo Tuccella; Ummugulsum Alyuz; Alessandra Balzarini; Rocio Barô; Roberto Bellasio; Johannes Bieser; Jørgen Brandt; Jesper H Christensen; Augistin Colette; Xavier Francis; Andrea Fraser; Marta Garcia Vivanco; Pedro Jiménez-Guerrero; Ulas Im; Astrid Manders; Uarporn Nopmongcol; Nutthida Kitwiroon; Guido Pirovano; Luca Pozzoli; Marje Prank; Ranjeet S Sokhi; Alper Unal; Greg Yarwood; Stefano Galmarini
Journal:  Atmos Chem Phys       Date:  2017       Impact factor: 6.133

4.  Validation of the rapid fluorescent focus inhibition test for rabies virus-neutralizing antibodies in clinical samples.

Authors:  Stefan Kostense; Susan Moore; Arjen Companjen; Alexander B H Bakker; Wilfred E Marissen; Rie von Eyben; Gerrit Jan Weverling; Cathleen Hanlon; Jaap Goudsmit
Journal:  Antimicrob Agents Chemother       Date:  2012-04-30       Impact factor: 5.191

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Authors:  Jeryl C Jones; Susan E Appt; Stephen R Werre; Joshua C Tan; Jay R Kaplan
Journal:  Am J Primatol       Date:  2010-06       Impact factor: 2.371

6.  Evaluation of Sigma Metrics and Westgard Rule Selection and Implementation of Internal Quality Control in Clinical Chemistry Reference Laboratory, Ethiopian Public Health Institute.

Authors:  Zeleke Geto; Tigist Getahun; Tadesse Lejisa; Yosef Tolcha; Demirew Bikila; Chala Bashea; Mehari Meles; Wossene Habtu; Genet Ashebir; Bikila Negasa; Meron Sileshi; Yeabkal Daniel; Andargachew Gashu; Feyissa Challa
Journal:  Indian J Clin Biochem       Date:  2021-08-02

7.  Measuring E. coli and bacteriophage DNA in cell sonicates to evaluate the CAL1 reaction as a synthetic biology standard for qPCR.

Authors:  Alexander Templar; Desmond M Schofield; Darren N Nesbeth
Journal:  Biomol Detect Quantif       Date:  2016-12-29

Review 8.  Review of the Use of Liquid Chromatography-Tandem Mass Spectrometry in Clinical Laboratories: Part II-Operations.

Authors:  Brian A Rappold
Journal:  Ann Lab Med       Date:  2022-09-01       Impact factor: 4.941

9.  A simple semipaced 3-minute chair rise test for routine exercise tolerance testing in COPD.

Authors:  Bernard Aguilaniu; Hubert Roth; Jesus Gonzalez-Bermejo; Marie Jondot; Jocelyne Maitre; François Denis; Thomas Similowski
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2014-09-23

10.  Analytical bias of automated immunoassays for six serum steroid hormones assessed by LC-MS/MS.

Authors:  Željko Debeljak; Ivana Marković; Jasna Pavela; Iva Lukić; Dario Mandić; Sanja Mandić; Vesna Horvat; Vatroslav Šerić
Journal:  Biochem Med (Zagreb)       Date:  2020-08-05       Impact factor: 2.313

  10 in total

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