Academic literature on the topic 'Coefficient of concordance'

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Journal articles on the topic "Coefficient of concordance"

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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 0.633 (“reasonable” to “strong”). Conclusion The intraobserver concordance was always greater than the interobserver concordance. No concordance coefficient was classified as “insignificant” or “weak”. Level of Evidence III; Retrospective study.
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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 reference to the average of Spearman’s r coefficients is raised. The paper provides an example of using concordance coefficient when ranks are tied and discusses limitations of using rank correlation methods as a tool for evaluating the degree of agreement among experts’ opinions.
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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 determined if both spouses were diagnosed with mental disorder of an identical category in the International Classification of Diseases, Ninth Revision, Clinical Modification; otherwise, cross-concordance was reported.Results According to Cohen’s kappa coefficient, the most concordant mental disorder in couples was substance use disorder, followed by bipolar disorder. Depressive and anxiety disorders were the most common cross-concordant mental disorders, followed by bipolar disorder. The prevalence of the spousal concordance of mental disorders differed by monthly income and the couple’s age disparity.Conclusion Evidence of spousal concordance and cross-concordance for mental disorders may highlight the necessity of understanding the social context of marriage in the etiology of mental illness. Identifying the risk factors from a common environment attributable to mental disorders may enhance public health strategies to prevent and improve chronic mental illness of married couples.
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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 Slovenia for the period 1998-2007. We are able to confirm the hypothesis of high concordance between wages and labour productivity, which indicates a stimulative role of wages in production of market traded goods and services.
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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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10

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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