Bayesian framework for proficiency tests using auxiliary information on laboratories

Demeyer, Séverine; Fischer, Nicolas

doi:10.1007/s00769-017-1247-y

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…• The U.S. Food and Drug Administration [15] has issued guidance for the use of Bayesian statistics in clinical trials of medical devices, including devices used for measurement. • Demeyer and Fischer [21] outline a Bayesian framework for laboratory proficiency tests that incorporate various types of additional information about laboratory performance. • Nelson et al [62] employed Bayesian methods to provide a new realization of SI units for chemical purity measurements of organic substances, and Melanson et al [58] used Bayesian methods for purity assignment in the development of a peptide certified reference material.…”

Section: Motivationmentioning

confidence: 99%

Ode to Bayesian methods in metrology

Meija,

Bodnar,

Possolo

2023

Metrologia

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Bayesian statistical methods are being used increasingly often in measurement science, similarly to how they now pervade all the sciences, from astrophysics to climatology, and from genetics to social sciences. Within metrology, the use of Bayesian methods is documented in peer-reviewed publications that describe the development of certified reference materials or the characterization of CIPM key comparison reference values and the associated degrees of equivalence. This contribution reviews Bayesian concepts and methods, and provides guidance for how they can be used in measurement science, illustrated with realistic examples of application. In the process, this review also provides compelling evidence to the effect that the Bayesian approach offers unparalleled means to exploit all the information available that is relevant to rigorous and reliable measurement. The Bayesian outlook streamlines the interpretation of uncertainty evaluations, aligning their meaning with how they are perceived intuitively: not as promises about performance in the long run, but as expressions of documented and justified degrees of belief about the truth of specific conclusions supported by empirical evidence. This review also demonstrates that the Bayesian approach is practicable using currently available modeling and computational techniques, and, most importantly, that measurement results obtained using Bayesian methods, and predictions based on Bayesian models, including the establishment of metrological traceability, are amenable to empirical validation, no less than when classical statistical methods are used for the same purposes. Our goal is not to suggest that everything in metrology should be done in a Bayesian way. Instead, we aim to highlight applications and kinds of metrological problems where Bayesian methods shine brighter than the classical alternatives, and deliver results that any classical approach would be hard-pressed to match.

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Section: Motivationmentioning

confidence: 99%

Ode to Bayesian methods in metrology

Meija,

Bodnar,

Possolo

2023

Metrologia

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“…Robust statistical estimation is one approach to dealing with inconsistent data (see e.g. [2][3][4][5]). Another approach involves modelling the instability, and it is this approach that we will follow here.…”

Section: Introductionmentioning

confidence: 99%

On modelling of artefact instability in interlaboratory comparisons

et al. 2023

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Key comparisons are at the core of metrology and support the international equivalence of measurementstandards. Typical key comparison setups involve travelling artefacts which are transferred between theparticipants of a study. After each participating laboratory performs its measurements of the artefacts, asubsequent analysis reveals the degree of equivalence between the participants. For this analysis stage, thestability of the artefacts plays a crucial role, and violations of the stability need to be taken into account toallow for a meaningful comparison. In this work, we present several mathematical models for a treatment ofnon-negligible artefact instability effects in bilateral comparisons. We highlight the underlying model assumptionsand derive analytical formulae for the estimate and standard uncertainty of the instability effect. Moreover, wederive the bilateral degree of equivalence by applying the models in a treatment essentially based on the GUM(JCGM-100). Our considerations conclude with numerical experiments using data from a bilateral comparisonon illuminance and from a recent CCM key comparison of kilogram realisations.

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New statistical framework for interlaboratory evaluation of anti-doping testing results by WADA

Meija,

Possolo,

Garrido

et al. 2024

Accred Qual Assur

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The World Anti-doping Agency (WADA) International Standard for Laboratories (ISL), developed as part of the World Anti-Doping Program, requires satisfactory laboratory performance in the WADA External Quality Assessment Scheme (EQAS) in order to obtain and maintain WADA accreditation. Under this mandate, WADA regularly distributes urine and blood test samples to anti-doping laboratories to continuously monitor their proficiency. Over the years, WADA has employed classical, generic statistical methods, in accordance to ISO 13528, to evaluate quantitative EQAS results. Here, we set out the rationale for a modern statistical approach that recognizes and addresses the particular features of the measurement results typically obtained in such tests and present an approach involving Bayesian measurement models and statistical data analysis that is tailored specifically to anti-doping testing.

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Bayesian framework for proficiency tests using auxiliary information on laboratories

Cited by 3 publications

References 4 publications

Ode to Bayesian methods in metrology

Ode to Bayesian methods in metrology

On modelling of artefact instability in interlaboratory comparisons

New statistical framework for interlaboratory evaluation of anti-doping testing results by WADA

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