Concordance rate of a four-quadrant plot for repeated measurements

Abstract Background To assure the equivalence between new clinical measurement methods and the standard methods, the four-quadrant plot and the plot’s concordance rate is used in clinical practice, along with Bland-Altman analysis. The conventional concordance rate does not consider the correlation...

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Autores principales:	Mayu Hiraishi, Kensuke Tanioka, Toshio Shimokawa
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Clinical trial Method comparison Monte Carlo simulation Trending agreement Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/c3a43cf0281c419bb3d2f6282c13e189
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spelling	oai:doaj.org-article:c3a43cf0281c419bb3d2f6282c13e1892021-12-05T12:24:45ZConcordance rate of a four-quadrant plot for repeated measurements10.1186/s12874-021-01461-01471-2288https://doaj.org/article/c3a43cf0281c419bb3d2f6282c13e1892021-12-01T00:00:00Zhttps://doi.org/10.1186/s12874-021-01461-0https://doaj.org/toc/1471-2288Abstract Background To assure the equivalence between new clinical measurement methods and the standard methods, the four-quadrant plot and the plot’s concordance rate is used in clinical practice, along with Bland-Altman analysis. The conventional concordance rate does not consider the correlation among the data on individual subjects, which may affect its proper evaluation. Methods We propose a new concordance rate for the four-quadrant plot based on multivariate normal distribution to take into account the covariance within each individual subject. The proposed concordance rate is formulated as the conditional probability of the agreement. It contains a parameter to set the minimum concordant number between two measurement methods, which is regarded as agreement. This parameter allows flexibility in the interpretation of the results. Results Through numerical simulations, the AUC value of the proposed method was 0.967, while that of the conventional concordance rate was 0.938. In the application to a real example, the AUC value of the proposed method was 0.999 and that of the conventional concordance rate was 0.964. Conclusion From the results of numerical simulations and a real example, the proposed concordance rate showed better accuracy and higher diagnosability than the conventional approaches.Mayu HiraishiKensuke TaniokaToshio ShimokawaBMCarticleClinical trialMethod comparisonMonte Carlo simulationTrending agreementMedicine (General)R5-920ENBMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Clinical trial Method comparison Monte Carlo simulation Trending agreement Medicine (General) R5-920
spellingShingle	Clinical trial Method comparison Monte Carlo simulation Trending agreement Medicine (General) R5-920 Mayu Hiraishi Kensuke Tanioka Toshio Shimokawa Concordance rate of a four-quadrant plot for repeated measurements
description	Abstract Background To assure the equivalence between new clinical measurement methods and the standard methods, the four-quadrant plot and the plot’s concordance rate is used in clinical practice, along with Bland-Altman analysis. The conventional concordance rate does not consider the correlation among the data on individual subjects, which may affect its proper evaluation. Methods We propose a new concordance rate for the four-quadrant plot based on multivariate normal distribution to take into account the covariance within each individual subject. The proposed concordance rate is formulated as the conditional probability of the agreement. It contains a parameter to set the minimum concordant number between two measurement methods, which is regarded as agreement. This parameter allows flexibility in the interpretation of the results. Results Through numerical simulations, the AUC value of the proposed method was 0.967, while that of the conventional concordance rate was 0.938. In the application to a real example, the AUC value of the proposed method was 0.999 and that of the conventional concordance rate was 0.964. Conclusion From the results of numerical simulations and a real example, the proposed concordance rate showed better accuracy and higher diagnosability than the conventional approaches.
format	article
author	Mayu Hiraishi Kensuke Tanioka Toshio Shimokawa
author_facet	Mayu Hiraishi Kensuke Tanioka Toshio Shimokawa
author_sort	Mayu Hiraishi
title	Concordance rate of a four-quadrant plot for repeated measurements
title_short	Concordance rate of a four-quadrant plot for repeated measurements
title_full	Concordance rate of a four-quadrant plot for repeated measurements
title_fullStr	Concordance rate of a four-quadrant plot for repeated measurements
title_full_unstemmed	Concordance rate of a four-quadrant plot for repeated measurements
title_sort	concordance rate of a four-quadrant plot for repeated measurements
publisher	BMC
publishDate	2021
url	https://doaj.org/article/c3a43cf0281c419bb3d2f6282c13e189
work_keys_str_mv	AT mayuhiraishi concordancerateofafourquadrantplotforrepeatedmeasurements AT kensuketanioka concordancerateofafourquadrantplotforrepeatedmeasurements AT toshioshimokawa concordancerateofafourquadrantplotforrepeatedmeasurements
_version_	1718371983696068608

Concordance rate of a four-quadrant plot for repeated measurements

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