A Review of: “Comparing Clinical Measurement Methods: A Practical Guide, by B. Carstensen”

Abstract The use of a plot originally proposed by Bland and Altman (1986, Lancet 8,307-310) for the comparison of 2 clinical measurement methods was investigated and compared with a new visual display based on principal component analysis. The characteristics of both methods are demonstrated for several computer-simulated situations. For visual comparison of 2 methods, it is recommended to use the 2 methods simultaneously, together with a plot of the results of method 2 against method 1.

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Assessing agreement between the three common clinical measurement methods of HbA1c

Journal of Diabetes & Metabolic Disorders ◽

10.1007/s40200-020-00503-6 ◽

2020 ◽

Vol 19 (1) ◽

pp. 273-279

Author(s):

Mohammad Taha Jalali ◽

Samaneh Salehipour Bavarsad ◽

Saeed Hesam ◽

Mohammad Reza Afsharmanesh ◽

Narges Mohammadtaghvaei

Keyword(s):

Measurement Methods ◽

Clinical Measurement

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A REVIEW OF WINE TOURISM DESTINATION IMAGE STUDIES FROM 2001 TO 2020

GeoJournal of Tourism and Geosites ◽

10.30892/gtg.37304-706 ◽

2021 ◽

Vol 37 (3) ◽

pp. 757-767

Author(s):

Gvantsa SEKHNIASHVILI ◽

Keyword(s):

Literature Review ◽

Measurement Techniques ◽

Measurement Methods ◽

Destination Image ◽

Future Research ◽

Tourism Destination ◽

Wine Tourism ◽

Projected Image ◽

Practical Guide

As wine tourism destination image research attracts more attention lately, it is necessary to synthesize the literature and monitor its development. By analyzing the accumulated knowledge in the field, our study aims to form a practical guide based on which future research can avoid duplication and focus on the detected gaps The paper uses literature review methodology of 21 studies published between 2001 and 2020. Sample articles were coded and analyzed by different variables. The results explain some of the features of the field such as common measurement methods, study subjects and objects, samples and their size, destination types, scales, topics, and so forth. It summarizes strengths and weaknesses as well as future research possibilities. Based on the results, it is proposed to diversify the subjects of the study, also, to improve the measurement techniques of wine tourism destination image and focus on projected image which lacks the attention.

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Comparing Clinical Measurement Methods

10.1002/9780470683019 ◽

2010 ◽

Cited By ~ 39

Author(s):

Bendix Carstensen

Keyword(s):

Measurement Methods ◽

Clinical Measurement

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Assessing agreement between clinical measurement methods

Heart & Lung ◽

10.1016/s0147-9563(05)80043-3 ◽

1995 ◽

Vol 24 (3) ◽

pp. 240-245 ◽

Cited By ~ 14

Author(s):

Patricia Liehr ◽

Yvonne Laborde Dedo ◽

Steven Torres ◽

Janet C. Meininger

Keyword(s):

Measurement Methods ◽

Clinical Measurement

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Concordance rate of a four-quadrant plot for repeated measurements

BMC Medical Research Methodology ◽

10.1186/s12874-021-01461-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Mayu Hiraishi ◽

Kensuke Tanioka ◽

Toshio Shimokawa

Keyword(s):

Numerical Simulations ◽

Measurement Methods ◽

Repeated Measurements ◽

Concordance Rate ◽

Multivariate Normal ◽

Altman Analysis ◽

Individual Subject ◽

Clinical Measurement ◽

Auc Value ◽

Four Quadrant

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.

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