Generalizing
            <i>R</i>
            <sup>2</sup>
            for deming regressions

Bossé, Michael J.; Marland, Eric; Rhoads, Gregory S.; Sanqui, Jose Almer T.; BeMent, Zack

doi:10.1080/03610926.2022.2059678

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…This value is obtained by dividing the variances of the two methods to be compared. This calculated λ value minimizes the sum of the squares of the deviations along a straight line, allowing the required angle to be determined [15].…”

Section: Deming Regressionmentioning

confidence: 99%

The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods

Yasar,

Yologlu,

Altintas

et al. 2024

Med-Science

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The aim of this study is to evaluate the compatibility of the "Computed Tomography (CT)" and "Magnetic Resonance (MR)" methods which are imaging techniques used to describe prostate cancer with the pathology accepted as the reference method. In this study, the concordance between CT and MR results and pathology results of 37 prostate cancer patients was evaluated using the Bland-Altman, Interclass Correlation Coefficient, Concordance Correlation Coefficient, Deming Regression and Passing-Bablok method comparison methods. Inter-class correlation coefficient and Concordance Correlation Coefficient values for CT-Pathology results were 0.62 and 0.62, respectively. Inter-class correlation coefficient and Concordance Correlation Coefficient values for MR-Pathology results were 0.74 and 0.75, respectively. The regression equation for the Deming regression method is y=-6.21+1.03x for CT-Pathology, whereas for the MR-Pathology y=-6.86+1.11x. When the CT-Pathology measurement values are evaluated by the Bland-Altman statistical method, the mean values of the measurement differences are -2.42 and the standard deviation is 33.50. When the agreement between MR-Pathology measurement values is examined by the Bland-Altman method, the mean values for the difference between the measurement values are 4.14 and the standard deviation is 26.78. Among the applied methods, the Bland-Altman method is the most suitable method for data structure. According to the results of the Bland-Altman method, the tumor size obtained by the pathology method can be found to be 2.4 smaller than the mean values obtained from the CT results and an average of 4.1 cc from the measurement values obtained by the MR imaging technique.

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Section: Deming Regressionmentioning

confidence: 99%

The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods

Yasar,

Yologlu,

Altintas

et al. 2024

Med-Science

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MERPAL: multicollinearity regressive multilayer perceptron-based traffic-aware scheme for IoT-enabled smart cities

Rani,

Raj,

Khedr

2024

Neural Comput & Applic

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Comparing repeatability and reproducibility of topographic measurement types directly using linear regression analyses of measured heights

Peta,

Love,

Brown

2024

Precision Engineering

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Generalizing R ² for deming regressions

Cited by 4 publications

References 9 publications

The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods

The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods

MERPAL: multicollinearity regressive multilayer perceptron-based traffic-aware scheme for IoT-enabled smart cities

Comparing repeatability and reproducibility of topographic measurement types directly using linear regression analyses of measured heights

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Generalizing R 2 for deming regressions

Cited by 4 publications

References 9 publications

The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods

The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods

MERPAL: multicollinearity regressive multilayer perceptron-based traffic-aware scheme for IoT-enabled smart cities

Comparing repeatability and reproducibility of topographic measurement types directly using linear regression analyses of measured heights

Contact Info

Product

Resources

About

Generalizing R ² for deming regressions