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Laboratory Management |
Laboratory of Clinical Biochemistry, Psychiatric University Hospital, DK-8240 Risskov, Denmark.
linnet{at}post7.tele.dk.
Application of Deming regression analysis to interpret method comparison
data presupposes specification of the squared analytical error ratio
(
), but in cases involving only single measurements by each method,
this ratio may be unknown and is often assigned a default value of one.
On the basis of simulations, this practice was evaluated in situations
with real error ratios deviating from one. Comparisons of two
electrolyte methods and two glucose methods were simulated. In the
first case, misspecification of
produced a bias that amounted to
two-thirds of the maximum bias of the ordinary least-squares regression
method. Standard errors and the results of hypothesis-testing also
became misleading. In the second situation, a misspecified error ratio
resulted only in a negligible bias. Thus, given a short range of values
in relation to the measurement errors, it is important that
is
correctly estimated either from duplicate sets of measurements or, in
the case of single measurement sets, specified from quality-control
data. However, even with a misspecified error ratio, Deming regression
analysis is likely to perform better than least-squares regression
analysis.
The following articles in journals at HighWire Press have cited this article:
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A. Geistanger, S. Arends, C. Berding, T. Hoshino, J.-O. Jeppsson, R. Little, C. Siebelder, C. Weykamp, and on behalf of the IFCC Working Group on Standardiza Statistical Methods for Monitoring the Relationship between the IFCC Reference Measurement Procedure for Hemoglobin A1c and the Designated Comparison Methods in the United States, Japan, and Sweden Clin. Chem., August 1, 2008; 54(8): 1379 - 1385. [Abstract] [Full Text] [PDF] |
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Q. Han, M. Xu, L. Tang, X. Sun, N. Zhang, X. Tan, X. Tan, Y. Tan, and R. M. Hoffman Homogeneous Enzymatic Colorimetric Assay for Total Cysteine Clin. Chem., July 1, 2004; 50(7): 1229 - 1231. [Full Text] [PDF] |
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C. Wang, D. H. Catlin, L. M. Demers, B. Starcevic, and R. S. Swerdloff Measurement of Total Serum Testosterone in Adult Men: Comparison of Current Laboratory Methods Versus Liquid Chromatography-Tandem Mass Spectrometry J. Clin. Endocrinol. Metab., February 1, 2004; 89(2): 534 - 543. [Abstract] [Full Text] [PDF] |
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J. Krijt, M. Vackova, and V. Kozich Measurement of Homocysteine and Other Aminothiols in Plasma: Advantages of Using Tris(2-carboxyethyl)phosphine as Reductant Compared with Tri-n-butylphosphine Clin. Chem., October 1, 2001; 47(10): 1821 - 1828. [Abstract] [Full Text] [PDF] |
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A. Si-Mohamed, L. Andreoletti, I. Colombet, M.-P. Carreno, G. Lopez, G. Chatelier, M. D. Kazatchkine, and L. Belec Quantitation of Human Immunodeficiency Virus Type 1 (HIV-1) RNA in Cell-Free Cervicovaginal Secretions: Comparison of Reverse Transcription-PCR Amplification (AMPLICOR HIV-1 MONITOR 1.5) with Enhanced-Sensitivity Branched-DNA Assay (Quantiplex 3.0) J. Clin. Microbiol., June 1, 2001; 39(6): 2055 - 2059. [Abstract] [Full Text] [PDF] |
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K. Linnet Necessary Sample Size for Method Comparison Studies Based on Regression Analysis Clin. Chem., June 1, 1999; 45(6): 882 - 894. [Abstract] [Full Text] [PDF] |
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K. Linnet Limitations of the Paired t-Test for Evaluation of Method Comparison Data Clin. Chem., February 1, 1999; 45(2): 314 - 315. [Full Text] [PDF] |
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D. Stockl, K. Dewitte, and L. M. Thienpont Validity of linear regression in method comparison studies: is it limited by the statistical model or the quality of the analytical input data? Clin. Chem., November 1, 1998; 44(11): 2340 - 2346. [Abstract] [Full Text] [PDF] |
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