Quality Quandaries*: A Gage R&amp;R Study in a Hospital

Erdmann, Tashi P.; Does, Ronald J. M. M.; Bisgaard, Søren

doi:10.1080/08982110903412924

Cited by 25 publications

(22 citation statements)

References 5 publications

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“…The variability due the used gauge can further be divided into two subcomponents. The variability due to different operators using the gauge, known as the gauge Reproducibility and the gauge precision known as the gauge Repeatability . The process of estimating the gauge repeatability and reproducibility is known as gauge R&R study .…”

Section: Repeatability and Reproducibility Of Measurement Systemsmentioning

confidence: 99%

“…The variability due to different operators using the gauge, known as the gauge Reproducibility and the gauge precision known as the gauge Repeatability . The process of estimating the gauge repeatability and reproducibility is known as gauge R&R study . Assuming a variable of interest y is to be measured on a objects (parts), and there are b operators that are eligible to use the gauge and each operator measures the same object n times, then,

y_{ijk} = μ + P_{i} + O_{j} + {(PO)}_{ij} + ϵ_{ijk}, ({, \begin{matrix} i = 1, 2, \dots, a \\ j = 1, 2, \dots, b \\ k = 1, 2, \dots, n \end{matrix})

where y i j k is the k ‐th measurement by operator j on part i ; P i , O j , and ( P O ) i j are the effects due to the parts, operators, and their interaction, respectively, and ϵ i j k is the random error term.…”

Section: Repeatability and Reproducibility Of Measurement Systemsmentioning

confidence: 99%

“…The MSA is a collection of statistical tools that are used to estimate the variance components in any measurement system. Two statistical methods are usually used in MSA: the method of ranges and the gauge repeatability and reproducibility studies . The method of ranges is used mostly to estimate the variance of the measurement system error known as the gauge variance in the literature .…”

Section: Introductionmentioning

confidence: 99%

“…Applications of MSA in health‐related fields are very limited. Up to our knowledge, there is only one application and that is found in . In their paper, use a gauge repeatability and reproducibility study to assess the capability of patient temperature measurement system.…”

Section: Introductionmentioning

confidence: 99%

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Reference Range Estimation: Accounting for Measurement System Errors

Alshraideh

Smadi

Abo-Taha

et al. 2015

Quality & Reliability Eng

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Reference range is a statistic that is used in health related fields to represent the range of the most likely values for a variable of interest. Based on this range, individuals are classified as being healthy or unhealthy. In biostatistics, the reference range is calculated as the .1 ˛/% prediction interval, where this prediction interval is based on the estimated population variance from the data. Such estimation of population variance is not precise, because obtained test results do usually have errors associated with them. These errors are due to the imprecise test procedure or gauge used. In this paper, the total variability in the data is decomposed into two categories. The first is the patient-to-patient variability and the other is the variability due to the measurement system used. Estimation of the two kinds is performed through a gauge repeatability and reproducibility study, then the reference range is calculated, taking into account only the patient-to-patient variability. The revised reference range procedure is illustrated through a case study of vitamin B12 test results. A closed form formula is given to calculate the probability of a given test result being within the revised reference range.

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Section: Repeatability and Reproducibility Of Measurement Systemsmentioning

confidence: 99%

y_{ijk} = μ + P_{i} + O_{j} + {(PO)}_{ij} + ϵ_{ijk}, ({, \begin{matrix} i = 1, 2, \dots, a \\ j = 1, 2, \dots, b \\ k = 1, 2, \dots, n \end{matrix})

Section: Repeatability and Reproducibility Of Measurement Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reference Range Estimation: Accounting for Measurement System Errors

Alshraideh

Smadi

Abo-Taha

et al. 2015

Quality & Reliability Eng

View full text Add to dashboard Cite

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“…Repeatability is the variation of the measuring instrument or equipment assessing the same unit (operator or with the same setup and the same period of time). Reproducibility determines the variability arising from different operators, set-ups or period of time (Burdick, Borror, & Montgomery, 2003;Polini & Turchetta, 2004;Awad, Erdmann, Shanshal, & Barth, 2009;Wu, Pearn, & Kotz, 2009;Erdmann, Does, & Bisgaard 2009;Kaija et al, 2010;Weaver, Hamada, Vardeman, & Wilson, 2012;Peruchi et al, 2013). A measurement system is deemed adequate for monitoring a particular application, if R&R variation is relatively smaller than manufacturing process variation (Majeske, 2012;Pereira et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

<b>Comparisons of multivariate GR&R methods using bootstrap confidence interval

et al. 2016

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ABSTRACT. This paper aimed to compare the performance of multivariate GR&R (gage repeatability and reproducibility) studies based on PCA (principal component analysis) and Manova (multivariate analysis of variance) methods. To estimate the multivariate gauge index, geometric and arithmetic means have been implemented with and without weighting strategies. Bootstrap confidence interval based on BC a (bias-corrected and accelerated) method has been adopted to determine multivariate gauge index adequacy. This confidence interval was calculated for the mean of univariate gauge indices estimated from each quality characteristic. The result analyses have shown that weighted approaches provided the best estimates of gauge index in multivariate GR&R studies.Keywords: measurement system analysis, repeatability and reproducibility, multivariate analysis of variance, principal component analysis. Comparações de métodos GR&R multivariados usando intervalo de confiança bootstrap RESUMO. Este artigo teve objetivo de comparar o desempenho de estudos GR&R (gage repeatability and reproducibility) multivariados baseados nos métodos PCA (principal component analysis) e Manova (multivariate analysis of variance).As médias aritmética e geométrica com e sem ponderação foram implementadas para estimar os índices de medição multivariados. Para determinar a adequação dos índices de medição multivariados, foi adotado o intervalo de confiança bootstrap BCa (bias-corrected and accelerated). Esse intervalo de confiança foi calculado para a média dos índices de medição univariados estimados de cada característica da qualidade. As análises dos resultados mostraram que as abordagens ponderadas apresentaram melhores estimativas dos índices de avaliação em estudos GR&R com múltiplas variáveis.Palavras-chave: análise de sistemas de medição, repetitividade e reprodutividade, análise multivariada de variância, análise de componentes principais.

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Special Analyses and Processes

2021

Quality Planning and Assurance

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Quality Quandaries*: A Gage R&R Study in a Hospital

Cited by 25 publications

References 5 publications

Reference Range Estimation: Accounting for Measurement System Errors

Reference Range Estimation: Accounting for Measurement System Errors

<b>Comparisons of multivariate GR&R methods using bootstrap confidence interval

Special Analyses and Processes

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