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Journal articles on the topic 'Coefficient of concordance'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

CASTRO, CAÍQUE JAUHAR DE, LUIS EDUARDO CARELLI TEIXEIRA DA SILVA, LUIZ EDUARDO ALMEIDA, et al. "INTRA- AND INTEROBSERVER ANALYSIS OF PEDICLE SCREW PLACEMENT IN SCOLIOSIS CORRECTION." Coluna/Columna 19, no. 3 (2020): 172–75. http://dx.doi.org/10.1590/s1808-185120201903224255.

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ABSTRACT Objective To establish the statistical interobserver and intraobserver concordance of thoracic pedicle screw placement in scoliosis surgery, with a 4-week interval between the two analyses. Methods Of 55 patients that evaluated the intra- and interobserver concordances of the screw positions (according to the Abul-Kasim classification) using the Kappa coefficient. Results The intraobserver concordance ranged from a Kappa coefficient of 0.516 to 0.889 (“moderate” to “almost perfect”) between the two analyses performed four weeks apart. Interobserver concordance ranged from 0.379 to 0.6

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Liao, Jason J. Z. "An improved concordance correlation coefficient." Pharmaceutical Statistics 2, no. 4 (2003): 253–61. http://dx.doi.org/10.1002/pst.52.

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3

张, 天芳. "Understanding of Kendall’s Coefficient of Concordance." Statistics and Application 09, no. 04 (2020): 578–81. http://dx.doi.org/10.12677/sa.2020.94061.

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4

King, Tonya S., Vernon M. Chinchilli, and Josep L. Carrasco. "A repeated measures concordance correlation coefficient." Statistics in Medicine 26, no. 16 (2007): 3095–113. http://dx.doi.org/10.1002/sim.2778.

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5

Cabała, Paweł. "Zastosowanie współczynnika konkordancji w pomiarze zgodności ocen ekspertów." Przegląd Statystyczny. Statistical Review 2010, no. 2-3 (2010): 36–52. http://dx.doi.org/10.59139/ps.2010.02-03.3.

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In this article the problem of the measurement of agreement among experts is discussed. There are several tools to verify whether opinions expressed by an ordinal scale are reliable. If the objects are ranked, one of correlation coefficients is chosen. At the beginning, the case of m > 2 experts ranking n objects is presented; first, using untied ranks and second, tied ranks. To this end Kendall’s coefficient of concordance is applied. The method of examination of the statistical significance is also presented. Additionally the issue of the interpretation of the concordance coefficient in r

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Hsieh, Ming-Hong, Po-Chung Ju, Jeng-Yuan Chiou, Yu-Hsun Wang, Jong-Yi Wang, and Cheng-Chen Chang. "Spousal Concordance and Cross-Disorder Concordance of Mental Disorders: A Nationwide Cohort Study." Psychiatry Investigation 19, no. 10 (2022): 788–94. http://dx.doi.org/10.30773/pi.2022.0009.

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Objective Although both partners of a married couple can have mental disorders, the concordant and cross-concordant categories of disorders in couples remain unclear. Using national psychiatric population-based data only from patients with mental disorders, we examined married couples with mental disorders to examine spousal concordance and cross-disorder concordance across the full spectrum of mental disorders.Methods Data from the 1997 to 2012 Taiwan Psychiatric Inpatient Medical Claims data set were used and a total of 662 married couples were obtained. Concordance of mental disorders was d

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Verbic, Miroslav, and Franc Kuzmin. "Coefficient of structural concordance and an example of its application: Labour productivity and wages in Slovenia." Panoeconomicus 56, no. 2 (2009): 227–40. http://dx.doi.org/10.2298/pan0902227v.

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The article presents the underlying principles, derivation and properties of a simple descriptive measure of concordance between two analogous rank structures that we call the coefficient of structural concordance. It is based upon the idea of Kendall's coefficient of concordance, which we extend to two rank structures. As the coefficient of structural concordance is a pure intergroup measure of concordance, it is designed to complement the Kendall's intragroup coefficient of concordance. We apply this descriptive measure by exploring the relationship between wages and labour productivity in S

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Jumniensuk, Chayanit, Alexander Nobori, Thomas Lee, T. Niroshi Senaratne, Dinesh Rao, and Sheeja Pullarkat. "Concordance of Peripheral Blood and Bone Marrow Next-Generation Sequencing in Hematologic Neoplasms." Advances in Hematology 2022 (March 26, 2022): 1–6. http://dx.doi.org/10.1155/2022/8091746.

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Objective. Mutational analysis by next-generation sequencing (NGS) obtained by peripheral blood NGS has been of clinical interest to use as a minimally invasive screening tool. Our study evaluates the correlation between NGS results on peripheral blood and bone marrow in hematolymphoid disease. Method. We evaluated patients who had NGS for presumed hematologic malignancy performed on peripheral blood and bone marrow within a 1-year interval of each other. We excluded cases in which chemotherapy or bone marrow transplant occurred in the interval between the two tests. The concordance across per

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9

Lin, Lawrence I.-Kuei. "A Concordance Correlation Coefficient to Evaluate Reproducibility." Biometrics 45, no. 1 (1989): 255. http://dx.doi.org/10.2307/2532051.

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Lin, Lawrence I.-Kuei. "Assay Validation Using the Concordance Correlation Coefficient." Biometrics 48, no. 2 (1992): 599. http://dx.doi.org/10.2307/2532314.

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11

King, Tonya S., and Vernon M. Chinchilli. "ROBUST ESTIMATORS OF THE CONCORDANCE CORRELATION COEFFICIENT." Journal of Biopharmaceutical Statistics 11, no. 3 (2001): 83–105. http://dx.doi.org/10.1081/bip-100107651.

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12

Steichen, Thomas J., and Nicholas J. Cox. "A Note on the Concordance Correlation Coefficient." Stata Journal: Promoting communications on statistics and Stata 2, no. 2 (2002): 183–89. http://dx.doi.org/10.1177/1536867x0200200206.

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Program concord implements L. I. Lin's concordance correlation coefficient (Lin, 1989), as well as the limits-of-agreement procedure (Bland and Altman, 1986). Recently, Lin (2000) issued an erratum reporting a number of typographical errors in his seminal 1989 paper. Further, changes in Stata Version 7 required modification of concord. This note reports the effect of the errors and provides a corrected and updated program.

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Crawford, Sara B., Andrzej S. Kosinski, Hung-Mo Lin, John M. Williamson, and Huiman X. Barnhart. "Computer programs for the concordance correlation coefficient." Computer Methods and Programs in Biomedicine 88, no. 1 (2007): 62–74. http://dx.doi.org/10.1016/j.cmpb.2007.07.003.

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14

Coolen-Maturi, Tahani. "A new weighted rank coefficient of concordance." Journal of Applied Statistics 41, no. 8 (2014): 1721–45. http://dx.doi.org/10.1080/02664763.2014.889664.

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15

Grzegorzewski, Przemysław. "The coefficient of concordance for vague data." Computational Statistics & Data Analysis 51, no. 1 (2006): 314–22. http://dx.doi.org/10.1016/j.csda.2006.04.027.

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Carrasco, Josep L., and Lluis Jover. "Concordance correlation coefficient applied to discrete data." Statistics in Medicine 24, no. 24 (2005): 4021–34. http://dx.doi.org/10.1002/sim.2397.

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17

Лубенец, Ю. В. "ALTERNATIVE COEFFICIENT OF CONCORDANCE IN CASE OF CONNECTED RANKS." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 1 (April 19, 2021): 40–45. http://dx.doi.org/10.36622/vstu.2021.17.1.005.

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Рассматривается оценка согласованности мнений экспертов при проведении экспертного опроса. Наиболее часто в качестве такой оценки применяется коэффициент конкордации Кендалла. Однако этот коэффициент не может в полной мере применяться для установления хорошей согласованности мнений экспертов, поскольку он показывает только отклонение от случаев полной несогласованности. Для устранения данного недостатка может рассматриваться альтернативный коэффициент конкордации, оценивающий близость сумм рангов альтернатив к случаю полной согласованности. Здесь дается определение этого коэффициента при налич

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18

Choi, Won Jae, Jin Kyung An, Jeong Joo Woo, and Hee Yong Kwak. "Comparison of Diagnostic Performance in Mammography Assessment: Radiologist with Reference to Clinical Information Versus Standalone Artificial Intelligence Detection." Diagnostics 13, no. 1 (2022): 117. http://dx.doi.org/10.3390/diagnostics13010117.

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We compared diagnostic performances between radiologists with reference to clinical information and standalone artificial intelligence (AI) detection of breast cancer on digital mammography. This study included 392 women (average age: 57.3 ± 12.1 years, range: 30–94 years) diagnosed with malignancy between January 2010 and June 2021 who underwent digital mammography prior to biopsy. Two radiologists assessed mammographic findings based on clinical symptoms and prior mammography. All mammographies were analyzed via AI. Breast cancer detection performance was compared between radiologists and AI

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Le Rhun, Emilie, Patrick Devos, Thomas Boulanger, et al. "Validation and revision of the RANO Leptomeningeal Metastasis Group scorecard for response assessment." Journal of Clinical Oncology 37, no. 15_suppl (2019): e13546-e13546. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e13546.

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e13546 Background: The Response Assessment in Neuro-Oncology (RANO) group has proposed a scorecard to evaluate response assessed by magnetic resonance imaging (MRI) during treatment of leptomeningeal metastasis (LM). Methods: To validate the LM-RANO scorecard, cerebrospinal MRI of 22 patients with LM from solid tumors were rated by 10 neuro-oncologists and 9 neuroradiologists at baseline and during follow-up after treatment. The original scorecard and its instructions were sent to the raters. The inter-observer agreement for the evaluation of single items was assessed using the Krippendorff al

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Lubenets, Yu V. "SOME PROPERTIES OF THE ALTERNATIVE COEFFICIENT OF CONCORDANCE." Vestnik LSTU, no. 2 (2021): 12–17. http://dx.doi.org/10.53015/23049235_2021_2_12.

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21

Legendre, Pierre. "Species associations: the Kendall coefficient of concordance revisited." Journal of Agricultural, Biological, and Environmental Statistics 10, no. 2 (2005): 226–45. http://dx.doi.org/10.1198/108571105x46642.

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22

Hiriote, Sasiprapa, and Vernon M. Chinchilli. "Matrix-based Concordance Correlation Coefficient for Repeated Measures." Biometrics 67, no. 3 (2011): 1007–16. http://dx.doi.org/10.1111/j.1541-0420.2010.01549.x.

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23

Ma, Yan, Wan Tang, Qin Yu, and X. M. Tu. "Modeling Concordance Correlation Coefficient for Longitudinal Study Data." Psychometrika 75, no. 1 (2009): 99–119. http://dx.doi.org/10.1007/s11336-009-9142-z.

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24

Barnhart, Huiman X., Yuliya Lokhnygina, Andrzej S. Kosinski, and Michael Haber. "Comparison of Concordance Correlation Coefficient and Coefficient of Individual Agreement in Assessing Agreement." Journal of Biopharmaceutical Statistics 17, no. 4 (2007): 721–38. http://dx.doi.org/10.1080/10543400701329497.

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25

Lipovetsky, Stan. "Canonical Concordance Correlation Analysis." Mathematics 11, no. 1 (2022): 99. http://dx.doi.org/10.3390/math11010099.

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A multivariate technique named Canonical Concordance Correlation Analysis (CCCA) is introduced. In contrast to the classical Canonical Correlation Analysis (CCA) which is based on maximization of the Pearson’s correlation coefficient between the linear combinations of two sets of variables, the CCCA maximizes the Lin’s concordance correlation coefficient which accounts not just for the maximum correlation but also for the closeness of the aggregates’ mean values and the closeness of their variances. While the CCA employs the centered data with excluded means of the variables, the CCCA can be u

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26

Hutson, Alan D., and Han Yu. "A robust permutation test for the concordance correlation coefficient." Pharmaceutical Statistics 20, no. 4 (2021): 696–709. http://dx.doi.org/10.1002/pst.2101.

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27

Chinchilli, Vernon M., Juliann K. Martel, Shiriki Kumanyika, and Tom Lloyd. "A Weighted Concordance Correlation Coefficient for Repeated Measurement Designs." Biometrics 52, no. 1 (1996): 341. http://dx.doi.org/10.2307/2533172.

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28

Carrasco, Josep L., and Lluís Jover. "Estimating the Generalized Concordance Correlation Coefficient through Variance Components." Biometrics 59, no. 4 (2003): 849–58. http://dx.doi.org/10.1111/j.0006-341x.2003.00099.x.

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29

Feng, Dai, Richard Baumgartner, and Vladimir Svetnik. "A Robust Bayesian Estimate of the Concordance Correlation Coefficient." Journal of Biopharmaceutical Statistics 25, no. 3 (2014): 490–507. http://dx.doi.org/10.1080/10543406.2014.920342.

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30

Feng, Dai, Richard Baumgartner, and Vladimir Svetnik. "A short note on jackknifing the concordance correlation coefficient." Statistics in Medicine 33, no. 3 (2013): 514–16. http://dx.doi.org/10.1002/sim.5931.

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31

Gordon, Amber S., Ashly C. Westrick, Michael I. Falola, Chevis N. Shannon, Beverly C. Walters, and Winfield S. Fisher. "Reliability of postoperative photographs in assessment of facial nerve function after vestibular schwannoma resection." Journal of Neurosurgery 117, no. 5 (2012): 860–63. http://dx.doi.org/10.3171/2012.8.jns12158.

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Object This study was undertaken to assess the reliability of observations of postoperative photographs in assigning House-Brackmann scores as outcome measures for patients following resection of vestibular schwannomas. Methods Forty pictures of differing facial expressions typically elicited from patients for assigning House-Brackmann scores were individually evaluated by neurosurgery residents and faculty members at the University of Alabama at Birmingham; a score was assigned to each picture by the individual raters. The interrater reliability was measured using the Spearman correlation coe

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Na, Kwon Joong, Samina Park, Hyun Joo Lee, In Kyu Park, Chang Hyun Kang, and Young Tae Kim. "Comparison between lung perfusion scan and single-photon emission computed tomography/computed tomography for predicting postoperative lung function after pulmonary resection in patients with borderline lung function." European Journal of Cardio-Thoracic Surgery 58, no. 6 (2020): 1228–35. http://dx.doi.org/10.1093/ejcts/ezaa211.

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Abstract OBJECTIVES We compared the usefulness of single-photon emission computed tomography/computed tomography (SPECT/CT) and lung perfusion scintigraphy (LPS) for predicting postoperative lung function by comparing patients with borderline lung function. METHODS A total of 274 patients who underwent simultaneous LPS and SPECT/CT and had a forced expiratory volume in 1 s (FEV1) or diffusing capacity for carbon monoxide (DLCO) under 80% were included. The % uptake by LPS was calculated by the posterior-oblique method. The concordance and difference of the % uptake, predicted postoperative (pp

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Merino, Jordi, Sarah Berry, Sajaysurya Ganesh, et al. "Precision Nutrition and Reliability of Continuous Glucose Monitors: Insights From the PREDICT Study." Current Developments in Nutrition 5, Supplement_2 (2021): 513. http://dx.doi.org/10.1093/cdn/nzab041_028.

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Abstract Objectives The use of continuous glucose monitors (CGM) provides a more in-depth characterization of glycemic variation in response to environmental stimuli, but concerns about CGM reliability for categorizing glycemic responses to foods and meals exist. We sought to evaluate the concordance and reliability of two simultaneously worn CGM devices on postprandial glycemic responses. Methods We examined the correlation and coefficient of variation of the 2h glucose incremental area under the curve (iAUC) for 21,527 standardized and ad libitum meals consumed by 368 healthy participants fr

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Tsai, Miao-Yu, Chia-Ni Sun, and Chao-Chun Lin. "Concordance correlation coefficients estimated by modified variance components and generalized estimating equations for longitudinal overdispersed Poisson data." Statistical Methods in Medical Research 31, no. 2 (2021): 267–86. http://dx.doi.org/10.1177/09622802211065156.

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For longitudinal overdispersed Poisson data sets, estimators of the intra-, inter-, and total concordance correlation coefficient through variance components have been proposed. However, biased estimators of quadratic forms are used in concordance correlation coefficient estimation. In addition, the generalized estimating equations approach has been used in estimating agreement for longitudinal normal data and not for longitudinal overdispersed Poisson data. Therefore, this paper proposes a modified variance component approach to develop the unbiased estimators of the concordance correlation c

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Podvezko, Valentinas. "AGREEMENT OF EXPERT ESTIMATES." Technological and Economic Development of Economy 11, no. 2 (2005): 101–7. http://dx.doi.org/10.3846/13928619.2005.9637688.

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The application of multicriteria methods largely depends on the calculation of the criteria weights based on expert evaluation. The results obtained can be used for practical purposes if expert judgments are in good agreement. This may be determined by the concordance of a coefficient obtained by ranking the available alternatives. The paper considers a possibility to apply the concordance coefficient in cases when expert evaluation is not based on ranking. The calculations reveal the dependence of the agreement of expert estimates on a particular method used. The highest degree of agreement h

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BHATTACHARJEE, Atanu, and Tapesh BHATTACHARYYA. "Bayesian Concordance Correlation Coefficient with Application to Repeatedly Measured Data." Turkiye Klinikleri Journal of Biostatistics 7, no. 2 (2015): 55–62. http://dx.doi.org/10.5336/biostatic.2015-46702.

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37

Nickerson, Carol A. E. "A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility"." Biometrics 53, no. 4 (1997): 1503. http://dx.doi.org/10.2307/2533516.

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38

Xu, Weichao, Zhaoguo Chen, Yun Zhang, and Lianglun Cheng. "Order Statistics Concordance Coefficient With Applications to Multichannel Biosignal Analysis." IEEE Journal of Biomedical and Health Informatics 21, no. 5 (2017): 1206–15. http://dx.doi.org/10.1109/jbhi.2016.2616512.

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39

Barnhart, Huiman X., Michael Haber, and Jingli Song. "Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers." Biometrics 58, no. 4 (2002): 1020–27. http://dx.doi.org/10.1111/j.0006-341x.2002.01020.x.

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Carrasco, Josep L., Lluis Jover, Tonya S. King, and Vernon M. Chinchilli. "Comparison of Concordance Correlation Coefficient Estimating Approaches with Skewed Data." Journal of Biopharmaceutical Statistics 17, no. 4 (2007): 673–84. http://dx.doi.org/10.1080/10543400701329463.

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41

Hebbler, Stephen W. "A BASIC Program for Computing the Coefficient of Concordance, rc." Educational and Psychological Measurement 49, no. 3 (1989): 615–18. http://dx.doi.org/10.1177/001316448904900312.

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42

Lange, N., L. K. Hansen, M. W. Pedersen, R. L. Savoy, and S. C. Strother. "A concordance correlation coefficient for reproducibility of spatial actibation patterns." NeuroImage 3, no. 3 (1996): S75. http://dx.doi.org/10.1016/s1053-8119(96)80077-2.

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43

Guo, Ying, and Amita K. Manatunga. "Nonparametric Estimation of the Concordance Correlation Coefficient under Univariate Censoring." Biometrics 63, no. 1 (2006): 164–72. http://dx.doi.org/10.1111/j.1541-0420.2006.00664.x.

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44

King, Tonya S., and Vernon M. Chinchilli. "A generalized concordance correlation coefficient for continuous and categorical data." Statistics in Medicine 20, no. 14 (2001): 2131–47. http://dx.doi.org/10.1002/sim.845.

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45

Yasar, Seyma, Saim Yologlu, Ramazan Altintas, Ayse Akatli, and Leyla Karaca. "The evaluation of agreement between the measurement methods used in the diagnosis of prostate cancer with the statistical methods." Medicine Science | International Medical Journal 13, no. 1 (2024): 131. http://dx.doi.org/10.5455/medscience.2023.10.205.

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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 Coefficie

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Gonzalez-Martin, Cristina, Uxia Fernandez-Lopez, Abian Mosquera-Fernandez, et al. "Concordance between Pressure Platform and Pedigraph." Diagnostics 11, no. 12 (2021): 2322. http://dx.doi.org/10.3390/diagnostics11122322.

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Objectives: Determine the concordance between two methods of obtaining the plantar footprint (pedigraph and pressure platform). Methods: A descriptive, cross-sectional, observational study of prevalence was carried out in the social center of Cariño (Coruña), Spain (n = 65 participants). Older people without amputations or the presence of dysmetria were included. The variables studied were: sociodemographic (age, sex), anthropometric (body mass index) and footprint measurement variables. These measurements were made by obtaining the plantar footprint using two methods: pedigraph and pressure p

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Chen, Chia-Cheng, and Huiman X. Barnhart. "Assessing agreement with intraclass correlation coefficient and concordance correlation coefficient for data with repeated measures." Computational Statistics & Data Analysis 60 (April 2013): 132–45. http://dx.doi.org/10.1016/j.csda.2012.11.004.

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Courtwright, Kylie, Michael Daniel, and Paul Michael. "35 Pairwise Concurrence Rates Between Standalone and Embedded Performance Validity Tests." Journal of the International Neuropsychological Society 29, s1 (2023): 716. http://dx.doi.org/10.1017/s1355617723008937.

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Objective:Determine the classification concordance between a standalone performance validity test (PVT) and embedded PVTs from multiple cognitive domains.Participants and Methods:Participants were 106 patients (49.1% female; 69% white) that underwent neuropsychological evaluation at an outpatient university doctoral clinical psychology training and research clinic (M/SD: age = 32.38/11.95; education = 13.7/2.75). A comprehensive neuropsychological battery included the Medical Symptom Validity Test (MSVT) and embedded PVTs from different cognitive domains: attention - Wechsler Adult Intelligenc

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VIEIRA, ANDRÉ LUIZ PAGOTTO, JULIANO RODRIGUES DOS SANTOS, and GUILHERME GALITO HENRIQUES. "COMPARATIVE ANALYSIS OF TWO CLASSIFICATION SYSTEMS OF THORACOLUMBAR SPINE FRACTURES." Coluna/Columna 17, no. 1 (2018): 35–38. http://dx.doi.org/10.1590/s1808-185120181701179188.

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ABSTRACT Objective: To evaluate the reproducibility and the interobserver coefficient of concordance between the AO/Magerl and AOSpine classifications for thoracolumbar spine fractures. Methods: Retrospective study of radiographic data analysis. Data were collected from 31 radiographic studies of patients with thoracolumbar spine fracture and distributed to a team involving spinal surgeons and residents. The fractures were classified according to the AO/Magerl and AOSpine classifications. Statistical analysis was performed using the Cohen Kappa test to assess the coefficient of concordance. Re

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Hofert, Marius, and Takaaki Koike. "COMPATIBILITY AND ATTAINABILITY OF MATRICES OF CORRELATION-BASED MEASURES OF CONCORDANCE." ASTIN Bulletin 49, no. 03 (2019): 885–918. http://dx.doi.org/10.1017/asb.2019.13.

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AbstractMeasures of concordance have been widely used in insurance and risk management to summarize nonlinear dependence among risks modeled by random variables, which Pearson’s correlation coefficient cannot capture. However, popular measures of concordance, such as Spearman’s rho and Blomqvist’s beta, appear as classical correlations of transformed random variables. We characterize a whole class of such concordance measures arising from correlations of transformed random variables, which includes Spearman’s rho, Blomqvist’s beta and van der Waerden’s coefficient as special cases. Compatibili

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