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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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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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“Regression analysis according to Passing and Bablok 30 showed that slopes between the BGMS and the GOD method ranged from 0.85 to 1.08 and from 0.81 to 1.01 when compared with the HK method.”
From Impact of Two Different Reference Measurement Procedures on Apparent System Accuracy of 18 CE-Marked Current-Generation Blood Glucose Monitoring Systems (2022) · cites this paper as [30]
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- 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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Metadata
- 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
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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