Relevant bibliographies by topics / Kappa coefficient

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Academic literature on the topic 'Kappa coefficient'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Kappa coefficient"

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Lin, Yuan Horng. "Fuzzy Kappa Coefficient with Simulated Comparisons." Applied Mechanics and Materials 303-306 (February 2013): 372–75. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.372.

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The purpose of this study is to provide a new Kappa coefficient based on fuzzy scoring. This new Kappa is called fuzzy Kappa. Fuzzy theory has been widely used in quantitative research and many researches indicate its positive utility. Moreover, viewpoints of measurement according to fuzzy theory conform to the thinking of human thoughts. Therefore, it is feasible to measure the scoring of decision-making or judgment. In addition, Kappa coefficient is one kind of rater reliability and it is to measure the consistency on judgment among raters. Traditional Kappa coefficient is based on the crisp measurement and it violates the psychological nature of human decision-making. Therefore, in this study, fuzzy Kappa, which is based on the fuzzy measurement, is provided. Besides, data simulation is designed to compare of these two Kappa coefficients. The results show that fuzzy Kappa performs better than traditional Kappa. Based on the findings of this study, some suggestions and recommendations are discussed for future research.
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Thompson, W. Douglas, and Stephen D. Walter. "A rEAPPRAISAL OF THE KAPPA COEFFICIENT." Journal of Clinical Epidemiology 41, no. 10 (January 1988): 949–58. http://dx.doi.org/10.1016/0895-4356(88)90031-5.

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Warrens, Matthijs J. "New Interpretations of Cohen’s Kappa." Journal of Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/203907.

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Cohen’s kappa is a widely used association coefficient for summarizing interrater agreement on a nominal scale. Kappa reduces the ratings of the two observers to a single number. With three or more categories it is more informative to summarize the ratings by category coefficients that describe the information for each category separately. Examples of category coefficients are the sensitivity or specificity of a category or the Bloch-Kraemer weighted kappa. However, in many research studies one is often only interested in a single overall number that roughly summarizes the agreement. It is shown that both the overall observed agreement and Cohen’s kappa are weighted averages of various category coefficients and thus can be used to summarize these category coefficients.
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De Raadt, Alexandra, Matthijs J. Warrens, Roel J. Bosker, and Henk A. L. Kiers. "Kappa Coefficients for Missing Data." Educational and Psychological Measurement 79, no. 3 (January 16, 2019): 558–76. http://dx.doi.org/10.1177/0013164418823249.

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Cohen’s kappa coefficient is commonly used for assessing agreement between classifications of two raters on a nominal scale. Three variants of Cohen’s kappa that can handle missing data are presented. Data are considered missing if one or both ratings of a unit are missing. We study how well the variants estimate the kappa value for complete data under two missing data mechanisms—namely, missingness completely at random and a form of missingness not at random. The kappa coefficient considered in Gwet ( Handbook of Inter-rater Reliability, 4th ed.) and the kappa coefficient based on listwise deletion of units with missing ratings were found to have virtually no bias and mean squared error if missingness is completely at random, and small bias and mean squared error if missingness is not at random. Furthermore, the kappa coefficient that treats missing ratings as a regular category appears to be rather heavily biased and has a substantial mean squared error in many of the simulations. Because it performs well and is easy to compute, we recommend to use the kappa coefficient that is based on listwise deletion of missing ratings if it can be assumed that missingness is completely at random or not at random.
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Kvålseth, Tarald O. "Measurement of Interobserver Disagreement: Correction of Cohen’s Kappa for Negative Values." Journal of Probability and Statistics 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/751803.

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As measures of interobserver agreement for both nominal and ordinal categories, Cohen’s kappa coefficients appear to be the most widely used with simple and meaningful interpretations. However, for negative coefficient values when (the probability of) observed disagreement exceeds chance-expected disagreement, no fixed lower bounds exist for the kappa coefficients and their interpretations are no longer meaningful and may be entirely misleading. In this paper, alternative measures of disagreement (or negative agreement) are proposed as simple corrections or modifications of Cohen’s kappa coefficients. The new coefficients have a fixed lower bound of −1 that can be attained irrespective of the marginal distributions. A coefficient is formulated for the case when the classification categories are nominal and a weighted coefficient is proposed for ordinal categories. Besides coefficients for the overall disagreement across categories, disagreement coefficients for individual categories are presented. Statistical inference procedures are developed and numerical examples are provided.
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Gjørup, Thomas. "The Kappa Coefficient and the Prevalence of a Diagnosis." Methods of Information in Medicine 27, no. 04 (October 1988): 184–86. http://dx.doi.org/10.1055/s-0038-1635539.

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SummaryThe kappa coefficient is a widely used measure of agreement between observers’ independent recording of diagnoses. Kappa adjusts the overall agreement for expected chance agreement. The dependence of kappa on the prevalence . of a diagnosis has not previously been emphasized. This dependence means that kappa does not give a general statement of the reproducibility of a diagnosis. The result of a study of observer agreement should, therefore, not – as it has been done in several studies – be given by the kappa value alone. The kappa value should always be given together with the original results of the study.
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Nguyen, Loc. "A Fast Computational Formula for Kappa Coefficient." Science Journal of Clinical Medicine 4, no. 1 (2015): 1. http://dx.doi.org/10.11648/j.sjcm.20150401.11.

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Vanbelle, Sophie. "Asymptotic variability of (multilevel) multirater kappa coefficients." Statistical Methods in Medical Research 28, no. 10-11 (August 22, 2018): 3012–26. http://dx.doi.org/10.1177/0962280218794733.

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Agreement studies are of paramount importance in various scientific domains. When several observers classify objects on categorical scales, agreement can be quantified through multirater kappa coefficients. In most statistical packages, the standard error of these coefficients is only available under the null hypothesis that the coefficient is equal to zero, preventing the construction of confidence intervals in the general case. The aim of this paper is triple. First, simple analytic formulae for the standard error of multirater kappa coefficients will be given in the general case. Second, these formulae will be extended to the case of multilevel data structures. The formulae are based on simple matrix algebra and are implemented in the R package “multiagree”. Third, guidelines on the choice between the different mulitrater kappa coefficients will be provided.
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Lipsitz, Stuart R., Nan M. Laird, Troyen A. Brennan, and Michael Parzen. "Estimating the kappa-coefficient from a Selected Sample." Journal of the Royal Statistical Society: Series D (The Statistician) 50, no. 4 (December 2001): 407–16. http://dx.doi.org/10.1111/1467-9884.00286.

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Luz, Laércio Lima, Lívia Maria Santiago, João Francisco Santos da Silva, and Inês Echenique Mattos. "Psychometric properties of the Brazilian version of the Vulnerable Elders Survey-13 (VES-13)." Cadernos de Saúde Pública 31, no. 3 (March 2015): 507–15. http://dx.doi.org/10.1590/0102-311x00011714.

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This study aims to assess the psychometric properties of the Brazilian version of the Vulnerable Elders Survey-13 (VES-13). Interviews were carried out with individuals aged 60 years and over receiving care at an ambulatory cancer centre. Test-retest reliability was assessed using the Spearman correlation coefficient, intraclass correlation coefficients and Cohen's kappa coefficient. Construct validity was assessed by testing convergent and discriminant validity using principal component analysis and Varimax rotation. The Spearman correlation coefficient value of the comparison between test and retest scores was 0.98 (p < 0.001). All intraclass correlation coefficient values were higher than 0.60 and kappa coefficients varied between 0.33 and 0.94. Three identified factors explained 72.6% of overall sample variance. VES-13 presented good convergent validity and reasonable discriminant validity. The psychometric properties of the adapted version of the VES-13 are consistent and adequate for use with the Brazilian population.
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Dissertations / Theses on the topic "Kappa coefficient"

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Robin, Stéphane. "Analyse de sensibilite de tests non-parametriques adaptes aux donnees censurees." Paris 5, 1994. http://www.theses.fr/1993PA05S013.

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Quand on veut tester l'efficacite d'un traitement et que la reponse a ce traitement se presente sous la forme d'une duree de vie (eventuellement censuree), on a le plus souvent recours a des tests non-parametriques tels que les tests du logrank pondere. L'utilisation de tels tests repose sur l'hypothese que le traitement a ete attribue au hasard, c'est-a-dire que tous les individus avaient, a priori, la meme probabilite de recevoir le traitement. On propose une methode permettant de repondre a la question : quelle confiance accorder aux resultats d'une telle etude si l'hypothese d'equiprobabilite n'est pas verifiee ? l'objet de cette these est d'etudier la sensibilite des tests du logrank pondere a une heterogeneite qui remet en cause l'hypothese d'equiprobabilite dans l'attribution des traitements. On montre que, si le facteur d'heterogeneite est inconnu, il est possible de donner un encadrement de la loi de ces statistiques de tests. Les bornes de cet encadrement sont donnees d'une part par la configuration du facteur d'heterogeneite la plus favorable au traitement, et d'autre part par la moins favorable. Si on suppose que le traitement est attribue de facon independante a chaque individu, ou si on travaille sur des donnees appariees, on peut montrer que, meme en presence d'heterogeneite, les statistiques sont asymptotiquement normales. Dans le cas ou le nombre d'individus traites est fixe a priori, on montre sur des exemples que l'approximation normale semble raisonnable mais on ne prouve pas la validite de cette approximation. Enfin on compare les sensibilites des differents tests du logrank pondere et on montre que le moins sensible est le test du logrank, le plus sensible celui de gehan et, de facon generale, qu'un test est d'autant plus sensible qu'il donne aux individus des poids contrastes.
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Bonnardel, Philippe. "Test statistique Kappa : programmation informatique et applications pratiques." Paris 5, 1996. http://www.theses.fr/1996PA05P072.

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Xier, Li. "Kappa — A Critical Review." Thesis, Uppsala University, Department of Statistics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126672.

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The Kappa coefficient is widely used in assessing categorical agreement between two raters or two methods. It can also be extended to more than two raters (methods).  When using Kappa, the shortcomings of this coefficient should be not neglected.  Bias and prevalence effects lead to paradoxes of Kappa. These problems can be avoided by using some other indexes together, but the solutions of the Kappa problems are not satisfactory. This paper gives a critical survey concerning the Kappa coefficient and gives a real life example. A useful alternative statistical approach, the Rank-invariant method is also introduced, and applied to analyze the disagreement between two raters.

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Hodgson, Lucien Guy, and n/a. "Cotton crop condition assessment using arial video imagery." University of Canberra. Applied Science, 1991. http://erl.canberra.edu.au./public/adt-AUC20060725.144909.

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Cotton crop condition was assessed from an analysis of multispectral aerial video imagery. Visible-near infrared imagery of two cotton fields was collected towards the end of the 1990 crop. The digital analysis was based on image classification, and the accuracies were assessed using the Kappa coefficient of agreement. The earliest of three images proved to be best for distinguishing plant variety. Vegetation index images were better for estimating potential yield than the original multispectral image; so too were multi-channel images that were transformed using vegetation indices or principal component analysis. The seedbed preparation rig used, the nitrogen application rate and three plant varieties, a weed species and two cotton cultivars, could all be discriminated from the imagery. Accuracies were moderate for the discrimination of plant variety, tillage treatment and nitrogen treatment, and low for the estimation of potential yield.
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Dou, Weibei. "Segmentation d'images multispectrales basée surla fusion d'informations : application aux images IRM." Phd thesis, Université de Caen, 2006. http://tel.archives-ouvertes.fr/tel-00111904.

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L'objectif de cette thèse consiste à développer une architecture de
fusion d'informations basée sur la théorie floue pour la segmentation
d'une cible à partir de plusieurs sources d'images. Notre application
principale porte sur la segmentation des images IRM multispectrales. Nous proposons une approche de segmentation automatique basée sur la fusion des caractéristiques extraites de chaque source d'image. Ces caractéristiques sont modélisées par des fonctions d'appartenance, obtenues à partir de fonctions analytiques, qui prennent en compte des connaissances a priori sur la possibilité d'appartenance à une cible (tumeur ou tissus cérébraux) donnée par l'expert, et aussi la gradation d'intensité du signal de la cible.

La segmentation d'une cible consiste finalement à fusionner les
différents degrés d'appartenance de la cible. Une étape supplémentaire basée sur une croissance 3D des régions floues est proposée pour améliorer le résultat de la fusion. Pour évaluer les résultats de segmentation représentés par un ensemble flou, une extension du coefficient Kappa de Cohen, nommée " Kappa flou " est proposée, qui est une méthode d'évaluation globale sur la proportion d'agrément d'un classement flou.

Cette architecture développée est mise en œuvre pour la segmentation des tumeurs cérébrales à partir des images IRM qui comprennent pour l'instant les séquences de routine : T1, T2 et densité de protons. Les résultats sur sept patients atteints de tumeur montrent l'efficacité de notre système.
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Dou, Weibei. "Segmentation d'images multispectrales basée sur la fusion d'informations : application aux images IRM." Caen, 2006. http://www.theses.fr/2006CAEN2026.

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L'objectif de cette thèse consiste à développer une architecture de fusion d'informations basée sur la théorie floue pour la segmentation d'une cible à partir de plusieurs sources d'images. Notre application principale porte sur la segmentation des images IRM multispectrales. Nous proposons une approche de segmentation automatique basée sur la fusion des caractéristiques extraites de chaque source d'image. Ces caractéristiques sont modélisées par des fonctions d'appartenance, obtenues à partir de fonctions analytiques, qui prennent en compte des connaissances à priori sur la possibilité d'appartenance à une cible (tumeur ou tissus cérébraux) donnée par l'expert, et aussi la gradation d'intensité du signal de la cible. La segmentation d'une cible consiste finalement à combiner les différents degrés d'appartenance de la cible. Une étape supplémentaire basée sur une croissance 3D des régions floues est proposée pour améliorer le résultat de la combinaison. Pour évaluer les résultats de segmentation représentés par un ensemble flou, une extension du coefficient Kappa de Cohen, nommée "Kappa flou" est proposée, qui est une méthode d'évaluation globale sur la proportion d'agrément d'un classement flou. Cette architecture développée est mise en oeuvre pour la segmentation des tumeurs cérébrales à partir des images IRM qui comprennent pour l'instant les séquences de base : T1, T2 et densité de protons (DP). Les résultats sur sept patients atteints de tumeur montrent l'efficacité de notre système.
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Silva, Gabriella Cynara Minora da. "Diagn?stico da degrada??o ambiental no munic?pio de Areia Branca-RN por geotecnologias." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18247.

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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior
The municipality of Areia Branca is within the mesoregion of West Potiguar and within the microregion of Mossor?, covering an area of 357,58 km2. Covering an area of weakness in terms of environmental, housing, together with the municipality of Grossos-RN, the estuary of River Apodi-Mossor?. The municipality of Areia Branca has historically suffered from a lack of planning regarding the use and occupation of land as some economic activities, attracted by the extremely favorable natural conditions, have exploited their natural resources improperly. The aim of this study is to quantify and analyze the environmental degradation in the municipality. Thus initially was performed a characterization of land use using remote sensing, geoprocessing and geographic information system GIS in order to generate data and information on the municipal scale, which may serve as input to the environmental planning and land use planning in the region. From this perspective, were used a Landsat 5 image TM sensor for the year 2010. In the processing of this image was used SPRING 5.2 and applied a supervised classification using the classifier regions, which was employed Bhattacharya Distance method with a threshold at 30%. Thus was obtained the land use map that was analyzed the spatial distribution of different types of the use that is occurring in the city, identifying areas that are being used incorrectly and the main types of environmental degradation. And further, were applied the methodology proposed by Beltrame (1994), Physical Diagnosis Conservationist under some adaptations for quantifying the level of degradation or conservation study area. As results, the indexes were obtained for the parameters in the proposed methodology, allowing quantitatively analyze the degradation potential of each sector. From this perspective, considering a scale of 0 to 100, sector A and sector B had value 31.20 units of risk of physical deterioration. And the C sector, has shown its value - 34.64 units degradation risk and should be considered a priority in relation to the achievement of conservation actions
O munic?pio de Areia Branca-RN est? inserido na mesorregi?o Oeste Potiguar e na microrregi?o de Mossor?, abrangendo uma ?rea de 357,58 km2. Compreende uma ?rea de fragilidade do ponto de vista ambiental, pois abriga, juntamente com o munic?pio de Grossos- RN, o estu?rio do rio Apodi-Mossor?. O munic?pio de Areia Branca vem sofrendo historicamente com a falta de planejamento no tocante ao uso e ocupa??o do solo, uma vez que algumas atividades econ?micas, atra?das pelas condi??es naturais favor?veis, t?m explorado os recursos naturais de forma inadequada. O objetivo deste estudo ? quantificar e analisar a degrada??o ambiental no referido munic?pio. Para isso, inicialmente foi realizada uma caracteriza??o do uso do solo, utilizando sensoriamento remoto, geoprocessamento e um sistema de informa??es geogr?ficas - SIG, visando gerar dados e informa??es na escala municipal, que possam servir de subs?dio para o planejamento ambiental e o ordenamento territorial da regi?o. Nessa perspectiva, utilizou-se uma imagem Landsat 5, sensor TM referente ao ano de 2010. No processamento desta imagem foi utilizado o SPRING 5.2 e aplicado uma classifica??o supervisionada atrav?s do classificador por regi?es, onde foi empregado o m?todo Bhattacharya Distance com um limiar 30%. Com isso foi obtido o mapa de uso do solo a partir do qual analisou-se a distribui??o espacial dos diferentes tipos de uso que ocorrem no munic?pio, identificando ?reas que est?o sendo utilizadas de maneira incorreta e os principais tipos de degrada??o ambiental. Em prosseguimento, aplicou-se a metodologia proposta por Beltrame (1994), o Diagn?stico F?sico-Conservacionista, sob algumas adapta??es, para obter a quantifica??o do n?vel de degrada??o ou conserva??o da ?rea de estudo. Como resultados, foram obtidos os ?ndices para os par?metros propostos na metodologia, permitindo analisar quantitativamente o potencial de degrada??o de cada setor. Nessa perspectiva, considerando uma escala de 0 a 100, o setor A e o setor B apresentaram valor 31,20 unidades de risco de degrada??o f?sica. E o setor C, demonstrou valor 34,64 unidades de risco de degrada??o, devendo ser considerado prioridade no tocante ? realiza??o de a??es conservacionistas
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Bier, Vanderlei Artur. "Construção e avaliação de mapas." Universidade Estadual do Oeste do Parana, 2015. http://tede.unioeste.br:8080/tede/handle/tede/256.

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The precision agriculture (PA) is defined as the use of site specific management techniques that allow cropping management according to its needs and soil, in order to reduce impacts on the environment. The models valuation that interpolates field data and generates thematic maps is a task that requires in-depth knowledge on this issue. The Cohen Kappa index (K) is the most widely statistics used to compare thematic maps. The accuracy with which the spatial distribution maps of soil attributes are produced influences the implementation and use of PA. However its use has the disadvantage of providing variation in accordance with the use of different numbers of classes, adopted during the map generation process. Thus, this work aimed at selecting the best method among four interpolation ones (inverse distance, inverse distance squared, ordinary kriging and cokriging) using the index of selection of interpolators (ISI), proposed here, based on the contents of clay, copper and manganese, area elevation data and the apparent soil electrical conductivity. The selection among mathematical models and geostatistical interpolation was simplified using the ISI. The study also evaluated the influence in agreement K and Tau (T) indices when varying the number of confusion matrix classes in results that come from a 15.5 ha area, with typical Red Dystrophic soil in Céu Azul countryside, Paraná, Brazil, where soil properties were interpolated with the inverse distance, inverse square of distance, ordinary kriging and cokriging. According to this trial, K and T indices have been confirmed and varied widely of agreement for different numbers of classes. Thus, in order to solve this situation, it was developed K and T equivalent indices to compare thematic maps of quantitative data, using the relative deviation coefficient ,the absolute averaged deviation of interpolated data, the average, and standard deviation of the attribute original data. The result proved to be a good alternative to K and T indices based on the error matrix since it is independent of the classes number and shows a simpler calculation. The methodology was more efficient for situations when more than four classes are used.
A agricultura de precisão (AP) é definida como a utilização de técnicas que permitem manejo localizado de cultivo de acordo com as necessidades da cultura e do solo, para diminuir impactos no meio ambiente. A avaliação de modelos que interpolam dados de campo e geram mapas temáticos é uma tarefa que exige conhecimentos aprofundados no assunto. A precisão com que os mapas de distribuição espacial de atributos do solo são produzidos influencia a aplicação e a utilização da AP. O índice de concordância Kappa de Cohen (K) é a estatística mais utilizada em comparação de mapas temáticos. Entretanto, seu uso com dados quantitativos apresenta o inconveniente de proporcionar variação de concordância com a utilização de diferentes números de classes, adotada durante o processo de geração do mapa. Assim, o objetivo deste trabalho foi selecionar o melhor entre quatro métodos de interpolação (inverso da distância, inverso da distância ao quadrado, krigagem ordinária e cokrigagem) utilizando o índice de seleção de interpoladores (ISI), aqui proposto, a partir de teores de argila, cobre e manganês, dados de elevação do terreno e da condutividade elétrica aparente do solo. Com o uso do ISI, a seleção entre modelos determinísticos e estocásticos de interpolação ficou simplificada. O estudo avaliou ainda a influência nos índices de concordância K e Tau (T), quando se varia o número de classes da matriz de confusão, em resultados oriundos de uma área de 15,5 ha, com solo Latossolo Vermelho Distroférrico típico, no município de Céu Azul, Paraná, Brasil. A partir deste trabalho, foi confirmado que os índices Kappa e Tau apresentam grandes variações de concordância para diferentes números de classes. Para resolver esta situação desenvolveram-se os índices K e T alternativos para comparação de mapas temáticos de dados quantitativos, utilizando-se o coeficiente de desvio relativo, o desvio absoluto médio dos dados interpolados, a média e o desvio padrão dos dados originais do atributo. O resultado mostrou-se como boa alternativa aos índices de K e T baseados na matriz de erro por ser independente do número de classes e ser de cálculo mais simples. A metodologia mostrou-se mais eficiente para situações em que se utilizam mais que quatro classes
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Cheng, Yu Chun, and 鄭宇君. "Estimation of intraclass correlation coefficient and Kappa statistic in categorical data." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/93387061533488183894.

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Lee, Yi-Hsuan, and 李怡萱. "Robust likelihood analysis of the agreement kappa coefficient for paired nominal and paired ordinal data." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4xd3dc.

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碩士
國立中央大學
統計研究所
106
In this paper, we construct a robust likelihood function for the agreement kappa/weighted kappa coefficient for clustered paired data in the case of three-category diagnostic outcome scenario. Utilizing this robust likelihood function, one can construct robust likelihood ratio (LR) statistic and LR-based confidence intervals without specifically modeling the intra-cluster correlation. We also make comparison between our robust likelihood approach and the nonparametric inferential method for kappa with paired data proposed by Yang and Zhou (2014, 2015) via simulations and real data analysis.
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Books on the topic "Kappa coefficient"

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Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.

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This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the ICC. The chapter determines the variance of a reliability estimate. It also calculates sample size estimates for reliability studies, and methods to combine reliability estimates in systematic reviews.
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Hernández-Nieto, Rafael. Contributions to Statistical Analysis: The Coefficients of Proportional Variance, Content Validity and Kappa. BookSurge Publishing, 2002.

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Book chapters on the topic "Kappa coefficient"

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Franzen, Michael. "Kappa Coefficient." In Encyclopedia of Clinical Neuropsychology, 1389. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1210.

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Franzen, Michael. "Kappa Coefficient." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1210-2.

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Franzen, Michael. "Kappa Coefficient." In Encyclopedia of Clinical Neuropsychology, 1903–4. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1210.

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Kvålseth, Tarald O. "Kappa Coefficient of Agreement." In International Encyclopedia of Statistical Science, 710–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_323.

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Legrand, Gaelle, and Nicolas Nicoloyannis. "Data Preprocessing and Kappa Coefficient." In Lecture Notes in Computer Science, 176–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11548669_19.

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Singh, Sunil, Navin Ram Daruka, Megha Shukla, and Ashok Deshpande. "Role of Fuzzy Set Theory and Kappa Coefficient in Urological Disease Diagnosis." In Data Science and Analytics, 411–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5827-6_36.

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Kraemer, Helena Chmura, Vyjeyanthi S. Periyakoil, and Art Noda. "Agreement Statistics: Kappa Coefficients in Medical Research." In Tutorials in Biostatistics, 85–105. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470023678.ch1c.

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"Kappa Coefficient of Agreement." In There’s a Stat for That!: What to Do & When to Do It, 62–63. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc., 2016. http://dx.doi.org/10.4135/9781071909775.n25.

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Wang, Jingfa. "A Study of Forest Swamp Mapping in Hani Wetland Integrating Sentinel-1 and Sentinel-2 Satellite Images." In Proceedings of CECNet 2021. IOS Press, 2021. http://dx.doi.org/10.3233/faia210392.

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As a unique wetland type, forest swamps play an important role in regional carbon cycling and biodiversity conservation. Taking Hani wetland in Jilin province as the research object, we integrated the application of Sentinel-1 radar and Sentinel-2 multispectral images, fully exploited the potential of Sentinel-1 multi-polarization band features and Sentinel-2 red edge index for forest swamp remote sensing identification, and applied the random forest method to realize the extraction of forest swamp distribution information of Hani wetland. The results show that when the optimal number of decision trees for forest swamp information extraction is 1200, the fusion of Sentinel-1VV and VH backscattering coefficient radar band features and Sentinel-2 red-edge band features can significantly improve the extraction accuracy of forest swamp distribution information, and the overall accuracy and Kappa coefficient of forest swamp information extraction in protected areas are as high as 89% and 0.85, respectively. The overall accuracy and Kappa coefficient of forest swamp information extraction in the protected area were 89% and 0.85, respectively. The landscape types of Hani Wetlands of International Importance are diversified, with natural wetlands, artificial wetlands and non-wetland landscape types co-existing. Among the natural wetland types, the forest swamp has the largest area of 27.1 km2, accounting for 11.2% of the total area of the reserve; the river has the smallest area of 0.7 km2, accounting for 0.3% of the total area of the reserve. The forest swamp extraction method provides data support for the sustainable management of Hani wetlands and case guidance for forest swamp mapping in other regions.
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Romero López, Roberto, Javier Molina Salazar, Alivid Coromoto Matheus Marin, and Luis Asunción Pérez Domínguez. "Model of Skills and Capabilities of the Logistics Administrator." In Handbook of Research on Industrial Applications for Improved Supply Chain Performance, 149–74. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0202-0.ch007.

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This chapter designs a model of the skills and capabilities required of a logistics administrator. The design of the theoretical model of these skills was carried out based on six skills: management in the supply chain, information technologies, quantitative methods, finance, legislation, and soft skills. Its validation was made through the judgment of experts in the area of the supply and logistics chain. The result obtained was a Kappa value of 0.715, a good value. To validate the reliability of the measurement instrument, it was applied to 20 people working in the logistics area. The Cronbach alpha coefficient was used, obtaining a value of 0.928, which allows the reliability of the instrument to be considered excellent.
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Conference papers on the topic "Kappa coefficient"

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Vieira, Susana M., Uzay Kaymak, and Joao M. C. Sousa. "Cohen's kappa coefficient as a performance measure for feature selection." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584447.

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Schäfer, Christian, and Owe Philipsen. "Lattice computation of the transport coefficient kappa in pure Yang-Mills theory." In 31st International Symposium on Lattice Field Theory LATTICE 2013. Trieste, Italy: Sissa Medialab, 2014. http://dx.doi.org/10.22323/1.187.0177.

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DE OLIVEIRA, MARIO A., NELCILENO V. S. ARAUJO, DANIEL J. INMAN, and JOZUE VIEIRA FILHO. "A New Strategy for Damage Identification in SHM Systems by Exploring Kappa Coefficient." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/13947.

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Javed, Salman, Farhan Javed, and Samsher. "Effect of Boat Tail Profile on Drag Coefficient of a Sedan Using CFD." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72653.

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An appendage is a boat tail which is installed at the rear section of the passenger car. An inflatable appendage has been developed to reduce the aerodynamic drag experienced by passenger cars. It can be inflated when driving under high-speed conditions and deflated while parking. In this study, an appendage is designed to maintain the streamlined rear body configuration and reduce flow separation. The profile of this aerodynamic device is based on several mathematical curves such as kappa curve, lame curve, catenary curve and aerofoil curve. Four types of boat tailing devices with different lengths and profiles were installed, and computational fluid dynamics (CFD) analysis was performed under moving ground conditions. The primary objective of this study is to find an optimum shape for the appendage and explain the aerodynamic drag reduction mechanism. Comparisons between the base model and modified models were made on the basis of the coefficient of drag, pressure contours, velocity contours, velocity streamlines and pressure distribution plot. It is shown that significant drag reduction can be obtained with the proposed aerodynamic device. Improvement in fuel efficiency varies based on the profile of add-on device. It is shown numerically that the aerodynamic performance is improved by 18.8% compared to the base model. As a result, the fuel consumption of the modified sedan reduces by 4.5%.
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Mohammadyari, Fatemeh, Mir Mehrdad Mirsanjari, Jūratė Sužiedelytė Visockienė, and Ardavan Zarandian. "Evaluation of Change in Land Usage and Land Cover in Karaj, Iran." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.649.

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In this study, classification results were derived from remote sensing data and the Support Vector Machine (SVM) algorithm used in this process, which classifies Landsat land-cover images. The accuracy of image classifications was evaluated by calculation of the Kappa coefficient. The area of study is Karaj, the capital of Alborz province, in north-central Iran. It is situated in the foothills of the Alborz Mountains and occupies a fertile agricultural plain. Landsat data used in the classification of land cover were collected from USGS websites, and multi-temporal images from the data were geometrically corrected. After this process, we calculated 11 metrics at the landscape and class-level scales: five metrics of class level and six metrics of landscape. The results showed that the landscape patterns in Karaj were changed due to the process of urbanization over an 11-year period. At the class level, for all classifications, the AI metric increased and the PD and NP metrics decreased. At the landscape level, the PD, ED, NP, and SHDI metrics decreased, and LPI and AI increased. These results provide insights about urban development policies and about whether the expansion of urban areas is beneficial for environmental sustainability in Iran and elsewhere in the world.
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Fonseca, Gabriel Barbosa, Zenilton K. G. Patrocínio Jr, Guillaume Gravier, and Silvio Jamil F. Guimarães. "Multimodal person discovery using label propagation over speaking faces graphs." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8312.

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The indexing of large datasets is a task of great importance, since it directly impacts on the quality of information that can be retrieved from these sets. Unfortunately, some datasets are growing in size so fast that manually indexing becomes unfeasible. Automatic indexing techniques can be applied to overcome this issue, and in this study, a unsupervised technique for multimodal person discovery is proposed, which consists in detecting persons that are appearing and speaking simultaneously on a video and associating names to them. To achieve that, the data is modeled as a graph of speaking-faces, and names are extracted via OCR and propagated through the graph based on audiovisual relations between speaking faces. To propagate labels, two graph based methods are proposed, one based on random walks and the other based on a hierarchical approach. In order to assess the proposed approach, we use two graph clustering baselines, and different modality fusion approaches. On the MediaEval MPD 2017 dataset, the proposed label propagation methods outperform all literature methods except one, which uses a different approach on the pre-processing step. Even though the Kappa coefficient indicates that the random walk and the hierarchical label propagation produce highly equivalent results, the hierarchical propagation is more than 6 times faster than the random walk under same configurations.
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Davison, Craig R., and Jeff W. Bird. "Review of Metrics and Assignment of Confidence Intervals for Health Management of Gas Turbine Engines." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50849.

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The development and evaluation of new diagnostic systems requires statistically-based methods to measure performance. Various metrics are in use by developers and users of diagnostic systems. Current metrics practices are reviewed, including receiver operating characteristics, confusion matrices, Kappa coefficients and various entropy techniques. A set of metrics is then proposed for assessment of diverse gas path diagnostic systems. The use of bootstrap statistics to compare metric results is developed, and demonstrated for a set of hypothetical data sets with a range of relevant characteristics. The bootstrap technique allows the expected range of the metric to be assessed without assuming a probability distribution. A method is proposed to develop confidence intervals for the calculated metrics. The application of a confidence interval could prevent a good diagnostic technique being discarded because of a lower value metric in one test instance. The strengths and weaknesses of the various metrics with derived confidence intervals are discussed. Recommendations are made for further work.
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Vieira, Daniella Serafin Couto, Laura Otto Walter, Ana Carolina Rabello de Moraes, João Péricles da Silva Jr, and Maria Cláudia Santos Silva. "CROSS-SECTIONAL ANALYSIS OF CLINICAL AND MORPHOLOGICAL FACTORS OF BREAST CANCER IMMUNOPHENOTYPES: A COMPARATIVE STUDY OF TWO DIFFERENT METHODOLOGIES OVER A 24‑YEAR HISTORICAL SERIES." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1043.

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Introduction: Breast cancer (BC) is the most incident form of cancer in women worldwide. The widespread use of breast screening programs, as well advances in molecular biology, and new drugs in chemotherapy have contributed to the recent survival rate improvement in high income countries. Furthermore, the study of cancer genome led to the elucidation of the intrinsic subtypes of invasive breast cancer (IBC), consequently, the success rate of targeted therapies improved the outcome in patients. However, considering that immunohistochemistry (IHC) is one of the main methods to determine the profile of protein expression in surgical pathology, most antibodies used have a presumed or already established role and represent proteins whose transcription has been previously described in genetic profile studies. Objectives: Describe the prevalence of IBC in women admitted to a public hospital in Brazil from 1994 to 2018, to establish a correlation between two models of immunohistochemical analysis, the 13th St. Gallen Conference classification and the biomarkerdefined subtypes based on HER2 and estrogen receptor (ER) status, and to investigate the profile of these cases. Methods: Retrospective database analysis was performed. 1,335 women with histologic diagnosis of IBC were included in the study from a public hospital in Brazil between 1994 and 2018. Frequencies and univariate associations were estimated by using chi-square tests. Agreement between the immunohistochemical groups were tested by using Cohen’s kappa coefficients. Results: The mean age was 56.1 years. The most prevalent subtype was luminal B/HER2 and the frequency of tumors with worse prognosis was 62.7%. An association was found between histological grade 3 (G3) and the worst prognostic subtypes: non-luminal A (OR=31.18; 95%CI 13.76–70.64), TNBC (OR=8.77; 95%CI 6.20–12.41), non-ER+/HER2- (OR=5.37; 95%CI 4.11–7.04) and ER-/HER2- (OR=8.50; 95%CI 6.10–11.85). A similar association was found for nuclear G3: non-luminal A (OR=6.3; 95%CI 4.29–9.47), TNBC (OR=5.14; 95%CI 3.64–7.31), non-ER+/HER2- (OR=4.83; 95%CI 3.80–6.15) and ER-/HER2- (OR=5.41; 95%CI 3.92–7.50). When the two models of immunohistochemical analysis were compared, the results showed an agreement rate of 99.48% to 100%. Conclusions: Our results show that most cases had worse outcomes, and there was absolute agreement between the two models of immunohistochemical analysis. These results can contribute to institutions that do not have molecular investigation, enabling accessible tools in routine practice.
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