• Korean Journal of Oriental Medicine
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• v.12 no.2 s.17
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• pp.103-113
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• 2006

Objectives we intended to know how much did it relate with the results between the instruments of diagnosis by using methods of three factors - QSCCII, PSSC(Phonetic System for Sasang Constitution)-2004, and body measurement which are usually used in diagnosing the Sasang Constitution in clinics Methods We diagnosed Sasang constitution through QSCCII, PSSC(Phonetic System for Sasang Constitution)-2004, Body measurement as a dignosis factors and we used Kappa coefficient to estimate simularity between diagnosis factors, and SPSS 12.0K to analyze data Results and conchusions 1. The orders of agreement statistics are different in the currency of Sasang Constitution diagnosis, Soeum-in was highest and Taeum-in lowest in the the fricency of Sasang Conctitution Diagnosis in the QSCCII, Soeum-in was highest Soyang-in lowest in the PSSC and Taeum-in highest, Soyang-in lowest in the body measurement so, we analogized incorrection in Sasang Constitution Diagnosis 2. Among 443 subjects, 156 (35.3%) had same dignosis in three Sasang Constitution factors. It means agreement statistics among factors of diagnosis are very low, so it is absolutely nessessary to research connection among those, especially Soyang-in part 3. Totally, it is not robust to apply these factors on Sasang Constitution diagnosis, especially agreement statistics between two kinds of Sasang Constitution diagnosis as $0.358{\sim}0.380$. However, we can have a possibility the more we use Sasang Constitution dignosis factors, the higher the agreement statistics is, through the ascending of agreement statistics as $0.526{\sim}0.592$, among three kinds of Sasang Constitution diagnosis To evaluate accuracy of Sasang Constitution diagnosis, it is nessessary to collect data from the subjects who are dignosed through the evidences such as herb medicine, disease and normal symption observation, etc. Using these data, we have to evaluate correction of seperated Sasang Constitution diagnosis methods and to connect those.

• The Korean Journal of Applied Statistics
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• v.25 no.5
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• pp.719-731
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• 2012

Agreement analysis is conducted to assess reliability among rating results performed repeatedly on the same subjects by one or more raters. The kappa statistic is commonly used when rating scales are categorical. The simple and weighted kappa statistics are used to measure the degree of agreement between two raters, and the generalized kappa statistics to measure the degree of agreement among more than two raters. In this paper, we compare the performance of four different generalized kappa statistics proposed by Fleiss (1971), Conger (1980), Randolph (2005), and Gwet (2008a). We also examine how sensitive each of four generalized kappa statistics can be to the marginal probability distribution as to whether marginal balancedness and/or homogeneity hold or not. The performance of the four methods is compared in terms of the relative bias and coverage rate through simulation studies in various scenarios with different numbers of raters, subjects, and categories. A real data example is also presented to illustrate the four methods.

• Journal of the Korean Data and Information Science Society
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• v.9 no.1
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• pp.11-18
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• 1998

In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using the correlation coefficient(r). So, the measurement for agreement was determined by Bland & Altman's method recently. In this article, we will analyse the measurement for agreement by using Q-Q plot and by applying Bland and Altman's method through graph. And we will show characteristics for these techniques.

• Communications for Statistical Applications and Methods
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• v.16 no.6
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• pp.1023-1029
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• 2009

Oh (2009) has proposed a likelihood ratio test for comparing two agreements for dependent observations based on the concept of marginal homogeneity and marginal stochastic ordering. In this paper we consider the comparison of more than two agreement measures. Simple ordering and simple tree ordering among agreement measures are investigated. Some test procedures, including likelihood ratio test, are discussed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.281-285
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• 2002

The observation fuzzy data in random effect and balanced designs for one way classification by using a the matrix formulation, we can estimate the fuzzy variance components for the ozone depletion example and test by the agreement index.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.1
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• pp.97-100
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• 2004

We propose some properties of fuzzy multivariate analysis of variance by fuzzy vector operation with agreement index. We deals fuzzy null hypotheses and fuzzy alternative hypothesis and define the agreement index for the grades of the judgements that the hypothesis is rejection or acceptance. Finally, we provide an example to evaluate the judgements.

• Imaging Science in Dentistry
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• v.37 no.4
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• pp.191-195
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• 2007

Purpose: To study the intra- and interobserver agreement of multidetector row computed tomography (MDCT) in interpretation of degenerative changes of the mandibular condyle. Materials and Methods: Five observers independently evaluated one hundred temporomandibular joint MDCT images for signs of osteophytes, erosion, sclerosis and flattening. The intra- and interobserver agreements were calculated by using Kappa statistics. Results: The intraobserver agreement was substantial for erosion (k=0.75), flattening (k=0.74) and sclerosis (k=0.72) and almost perfect for osteophytes (k=0.84). The interobserver agreement was fair for flattening (k=0.39), moderate for erosion (k=0.58) and sclerosis (k=0.48) and substantial for osteophytes (k=0.75). Conclusion: This study shows that we can expect good agreement for the presence of osteophytes, but not for flattening in the interpretation of MDCT images of the condyle.

• Journal of Trauma and Injury
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• v.27 no.4
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• pp.126-132
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• 2014

Purpose: The field trauma triage for injured patients is essential for trauma care system. In this study, agreement of patient evaluation between by prehospital EMS personnel and by hospital staffs and the appropriateness of prehospital triage were evaluated. Methods: This observational study was conducted from September to October 2012 for 5 weeks. During this period, EMT evaluated patient's severity according to guideline for field triage and recorded. Same guideline was applied in 26 hospitals for patients with EMS use. Kappa statistics were used to measure agreement for each item of guideline. Finally, over-triage and under-triage rate of EMT were calculated. Results: During study period, total 3,106 patients were transferred to 26 hospital emergency departments with EMS use. Kappa statistics for "vital signs" items were 0.45 for mentality lower than V and 0.44 for systolic blood pressure lower than 90 mmHg as a moderate agreement. In "anatomy of injury" items Kappa statistics were very low. In "mechanism of injury" items Kappa statistics were 0.28 for high-rise fall down and 0.27 for high energy traffic accident but in other items Kappa statistics were very low. 362 patients (12.0%) were over-triaged and 281 patients (9.3%) were under-triaged. Conclusion: Field triage can be applied but need to evaluate and modify in order to become accurate and sensitive for decision of transportation.

• The Korean Journal of Applied Statistics
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• v.20 no.1
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• pp.117-132
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• 2007

In a $2\times2$ table showing binary agreement between two raters, it is known that Cohen's $\kappa$, a chance-corrected measure of agreement, has two paradoxes. $\kappa$ is substantially sensitive to raters' classification probabilities(marginal probabilities) and does not satisfy conditions as a chance-corrected measure of agreement. However, $\kappa$ and other established measures have a reasonable and similar value when each marginal distribution is close to 0.5. The objectives of this paper are to present a new measure of agreement, H, which resolves paradoxes of $\kappa$ by adjusting unbalanced marginal distributions and to compare the proposed measure with established measures through some examples.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.1
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• pp.136-144
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• 2014

This paper studied what kind of effects were made through Open Sky agreement on Korea-China air transport market. To analyze the effects on air transport markets brought by liberalization, this paper studied transport volume, number of airlines, passenger and cargo and routes from 2000 to 2012 Korea-China aviation statistics. Liberalization of shandong and Hainan Provinces agreed in 2006 caused significant differences in frequencies, transport volume, and the number of routes for both passenger and cargo services between 2007 and 2008, as well as statistically significant effects. The analysis on the effect of Korea-China Open skies Agreement between 2000 and 2012 was no difference because the global financial crisis in September 2008.