Cited by 1,513Clinical Laboratory Practices and Quality ControlScientific Measurement and Uncertainty EvaluationReliability and Agreement in Measurement

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A New Biometrical Procedure for Testing the Equality of Measurements from Two Different Analytical Methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part I

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Passing, H., Bablok, W.·1983·cclm

DOI 10.1515/cclm.1983.21.11.709

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Abstract

Procedures for the statistical evaluation of method comparisons and instrument tests often have a requirement for distributional properties of the experimental data, but this requirement is frequently not met. In our paper we propose a new linear regression procedure with no special assumptions regarding the distribution of the samples and the measurement errors. The result does not depend on the assignment of the methods (instruments) to X and Y. After testing a linear relationship between X and Y confidence limits are given for the slope beta and the intercept alpha; they are used to determine whether there is only a chance difference between beta and 1 and between alpha and 0. The mathematical background is amplified separately in an appendix.

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Nonparametric Statistical Methods
(1999) · Technometrics · doi:10.1080/00401706.1999.10485954 · Cited by 6,118
Distribution-Free Statistical Tests
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Research works printed but not linked: 3

Bablok, 1983, is obtained No Passing and ncw procedure for testing the cquality of mcasurements from two methods If we substitute the structural relationship in the de - finition of the S - we find y t - y t - - From yf ßx and djj we get o ß djj - - dij, Clin Chem Clin Biochem, 21
Bablok, 1983, Clearly the new procedure takes into account the experimental reality of method comparisons s de - scribed in chapter No Passing and new procedure for testing the eq ality of measurements from two methods ϋ er ί - α CD α σ ρ - σ ο χ : i - ο ο : σα ε ο, Clin Chem Clin Biochem, 2, 3
Bablok, 1983, and Biochern No Passing and new procedure for testing the equality of measurements from two methods It follows that : sup and max l cusum i hY V l, Clin Chern, 0

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Authors: Passing, H., & Bablok, W.
Venue: cclm
Publisher: Walter de Gruyter GmbH
Published: 1983
Volume: 21
Issue: 11
Pages: 709-720
ISSN: 1434-6621 (ISSN-L)
1437-4331
DOI: 10.1515/cclm.1983.21.11.709
OpenAlex: W2020210187
Cited by: 1,513
References: 7
Citations by year: 2026: 32 · 2025: 67 · 2024: 60 · 2023: 84 · 2022: 63 · 2021: 70 · 2020: 86 · 2019: 72 · 2018: 64 · 2017: 72 · 2016: 67 · 2015: 74 · 2014: 61 · 2013: 50 · 2012: 48
FWCI: 2.48
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Clinical Chemistry and Laboratory Medicine (CCLM) (publishedVersion)
PubMed (publishedVersion)
edoc Publication server (Humboldt University of Berlin) (submittedVersion)
edoc Publication server (Humboldt University of Berlin)
Topics: Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
Physical Sciences › Physics and Astronomy › Instrumentation › Scientific Measurement and Uncertainty Evaluation
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
Keywords: method comparison, linear regression, measurement error, distribution-free statistics, clinical chemistry instrumentation
MeSH terms: Biometry, Chemistry, Clinical, Humans, Quality Control, Regression Analysis

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A New Biometrical Procedure for Testing the Equality of Measurements from Two Different Analytical Methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part I

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