Relevant bibliographies by topics / Intraclass correlation coefficient

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Academic literature on the topic 'Intraclass correlation coefficient'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Intraclass correlation coefficient"

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Sedgwick, P. "Intraclass correlation coefficient." BMJ 346, mar22 1 (March 22, 2013): f1816. http://dx.doi.org/10.1136/bmj.f1816.

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Bhandary, Madhusudin K. "Bayes estimation of intraclass correlation coefficient." Communications in Statistics - Theory and Methods 29, no. 1 (January 2000): 79–93. http://dx.doi.org/10.1080/03610920008832470.

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SRIVASTAVA, M. S. "Estimation of the intraclass correlation coefficient." Annals of Human Genetics 57, no. 2 (May 1993): 159–65. http://dx.doi.org/10.1111/j.1469-1809.1993.tb00897.x.

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Kovačić, Jelena, and Veda Marija Varnai. "Intraclass Correlation Coefficient for Grouped Data." Epidemiology 25, no. 5 (September 2014): 769–70. http://dx.doi.org/10.1097/ede.0000000000000139.

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Müller, Reinhold, and Petra Büttner. "Intraclass correlation coefficient—methodology and applications." Controlled Clinical Trials 12, no. 5 (October 1991): 690. http://dx.doi.org/10.1016/0197-2456(91)90262-k.

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Looney, Marilyn A. "When Is the Intraclass Correlation Coefficient Misleading?" Measurement in Physical Education and Exercise Science 4, no. 2 (June 2000): 73–78. http://dx.doi.org/10.1207/s15327841mpee0402_3.

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Lee, Seung-A., and Dal-Ho Kim. "Bayesian Hypothesis Testing for Intraclass Correlation Coefficient." Communications for Statistical Applications and Methods 13, no. 3 (December 31, 2006): 551–66. http://dx.doi.org/10.5351/ckss.2006.13.3.551.

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Plaza-Puche, Ana B., Liberdade C. Salerno, Francesco Versaci, Daniel Romero, and Jorge L. Alio. "Clinical evaluation of the repeatability of ocular aberrometry obtained with a new pyramid wavefront sensor." European Journal of Ophthalmology 29, no. 6 (December 5, 2018): 585–92. http://dx.doi.org/10.1177/1120672118816060.

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Purpose:To evaluate the intrasubject repeatability of the ocular aberrometry obtained with a new ocular pyramidal aberrometer technology in a sample of normal eyes.Methods:A total of 53 healthy eyes of 53 subjects with ages ranging from 18 to 45 years were included in this study. In all cases, three consecutive acquisitions were obtained. Intrasubject repeatability of the measurements with a pyramidal aberrometer was calculated. Intrasubject repeatability for 4.0- and 6.0-mm pupils was evaluated within the subject standard deviation (Sw) and intraclass correlation coefficient.Results:Low values of the Swand intraclass correlation coefficient outcomes close to 1 were observed for the sphere and cylinder at 3.0-mm pupil size. Most low Swand intraclass correlation coefficient values close to 1 were observed for total, low-order aberrations and higher-order aberrations root mean square and for each Zernike coefficient analysis (intraclass correlation coefficient ⩾0.798) at 4.0-mm pupil size, with more limited outcomes for the aberrometric coefficient of Z(4, 4) with an intraclass correlation coefficient of 0.683. For a 6.0 mm pupil diameter, low Swand intraclass correlation coefficient values close to 1 were observed for all aberrometric parameters or Zernike coefficients analyzed (intraclass correlation coefficient ⩾0.850).Conclusion:The new pyramidal aberrometer Osiris provides repeatable and consistent measurements of ocular aberrometry measurements in normal eyes.
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Giraudeau, Bruno, Alain Mallet, and Claude Chastang. "Case Influence on the Intraclass Correlation Coefficient Estimate." Biometrics 52, no. 4 (December 1996): 1492. http://dx.doi.org/10.2307/2532864.

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Bansal, Naveen K., and M. Bhandary. "ROBUST M-ESTIMATION OF THE INTRACLASS CORRELATION COEFFICIENT." Australian Journal of Statistics 36, no. 3 (September 1994): 287–301. http://dx.doi.org/10.1111/j.1467-842x.1994.tb00882.x.

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Dissertations / Theses on the topic "Intraclass correlation coefficient"

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Yu, Jianhui. "On Intraclass Correlation Coefficients." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/75.

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This paper uses Maximum likelihood estimation method to estimate the common correlation coefficients for multivariate datasets. We discuss a graphical tool, Q-Q plot, to test equality of the common intraclass correlation coefficients. Kolmogorov-Smirnov test and Cramér-von Mises test are used to check if the intraclass correlation coefficients are the same among populations. Bootstrap and empirical likelihood methods are applied to construct the confidence interval of the common intraclass correlation coefficients.
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Liu, Huayu. "Modified Profile Likelihood Approach for Certain Intraclass Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/96.

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In this paper we consider the problem of constructing confidence intervals and lower bounds forthe intraclass correlation coefficient in an interrater reliability study where the raters are randomly selected from a population of raters.The likelihood function of the interrater reliability is derived and simplified, and the profile likelihood based approach is readily available for computing the confidence intervals of the interrater reliability. Unfortunately, the confidence intervals computed by using the profile likelihood function are in general too narrow to have the desired coverage probabilities. From the point view of practice, a conservative approach, if is at least as precise as any existing method, is preferred sinceit gives the correct results with a probability higher than claimed. Under this rationale, we propose the so-called modified likelihood approach in this paper. Simulation study shows that, the proposed method in general has better performance than currently used methods.
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Ukoumunne, Obioha Chukwunyere. "Confidence intervals for the intraclass correlation coefficient in cluster randomised trials." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418293.

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Wu, Baohua. "Data Driven Approaches to Testing Homogeneity of Intraclass Correlation Coefficients." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/math_theses/92.

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The test of homogeneity for intraclass correlation coefficients has been one of the active topics in statistical research. Several chi-square tests have been proposed to test the homogeneity of intraclass correlations in the past few decades. The big concern for them is that these methods are seriously biased when sample sizes are not large. In this thesis, data driven approaches are proposed to testing the homogeneity of intraclass correlation coefficients of several populations. Through simulation study, data driven methods have been proved to be less biased and accurate than some commonly used chi-square tests.
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Bai, Shasha. "Inference on Intraclass Correlation Coefficients arising in a General Clustered Repeated-Measures Design." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1395614770.

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Perrett, Jamis J. "Using prior information on the intraclass correlation coefficient to analyze data from unreplicated and under-replicated experiments." Diss., Manhattan, Kan. : Kansas State University, 2004. http://hdl.handle.net/2097/45.

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Rodrigue, Natalie. "A comparison of the performance of Generalized Procrustes analysis and the intraclass coefficient of correlation to estimate interrater reliability." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0022/MQ50868.pdf.

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Wang, Luqiang. "Contributions to estimation of measures for assessing rater reliability." Diss., Temple University Libraries, 2009. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/44053.

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Statistics
Ph.D.
Reliability measures have been well studied over many years, beginning with an entire chapter devoted to intraclass correlation in the first edition of Fisher (1925). Such measures have been thoroughly studied for two factor models. This dissertation, motivated by a medical research problem, extends point and confidence interval estimation of both intraclass correlation coefficient and interater reliability coefficient to models containing three crossed random factors -- subjects, raters and occasions. The intraclass correlation coefficient is used when decision is made on an absolute basis with rater's scores, while the interater reliability coefficient is defined for decisions made on a relative basis. The estimation is conducted using both ANOVA and MCMC methods. The results from the two methods are compared. The MCMC method is preferred for analyses of small data sets when ICC values are high. Besides, the bias of estimator of intraclass correlation coefficient in one-way random effects model is evaluated.
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Smoljanovic, Lada. "The estimation of intraclass correlation coefficients." Thesis, University of Hull, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301491.

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Giraudeau, Bruno. "Sensibilite du coefficient de correlation intraclasse a une observation extreme." Paris 7, 1997. http://www.theses.fr/1997PA077112.

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Le coefficient de correlation intraclasse, defini comme la proportion de la variabilite totale due a la variabilite inter-sujets, est classiquement utilise pour estimer la reproductibilite d'un instrument de mesure. L'objet de ce travail est d'etudier l'influence d'observations extremes sur ce coefficient. Une observation (i. E. Un vecteur de p mesures) est extreme soit parce que la moyenne des p mesures s'ecarte de facon anormale de la moyenne globale, soit parce que la variance des p mesures est anormalement elevee. Deux approches permettant le traitement de ces observations ont ete envisagees. D'une part, une fonction d'influence d'une observation a ete analytiquement etablie. Elle dissocie l'influence positive associee a la moyenne des p mesures de l'influence negative associee a la variance de ces mesures. Deux tests en sont derives, ce qui permet d'exclure une observation extreme de l'echantillon. D'autre part, une etude de simulation a ete conduite pour comparer la robustesse de quatre estimateurs : l'estimateur du maximum de vraisemblance, deux estimateurs bootstrap et un estimateur defini a partir de quartiles. Le reechantillonnage ne permet pas de gagner en robustesse, par contre, l'estimateur defini a partir des quartiles est robuste aux observations extremes, mais necessite une distribution normale des donnees. L'utilisation du coefficient de correlation intraclasse est ensuite illustree par deux etudes en rhumatologie. Ainsi, on a estime la reproductibilite de quatre instruments utilises pour l'evaluation radiologique de la gonarthrose, puis on a etudie la reproductibilite et la sensibilite au changement de plusieurs methodes d'evaluation de la progression de la gonarthrose. Cette derniere etude clinique a, en outre, conduit a une investigation analytique des relations existant entre la reproductibilite et la sensibilite au changement, ce qui nous a permis de montrer que la qualite metrologique primordiale reste la reproductibilite.
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Books on the topic "Intraclass correlation 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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Book chapters on the topic "Intraclass correlation coefficient"

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Johnson, William D., and Gary G. Koch. "Intraclass Correlation Coefficient." In International Encyclopedia of Statistical Science, 685–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_309.

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Leyland, Alastair H., and Peter P. Groenewegen. "Intraclass Correlation Coefficient (ICC)." In Encyclopedia of Quality of Life and Well-Being Research, 3367–68. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1528.

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Leyland, Alastair H., and Peter P. Groenewegen. "Intraclass Correlation Coefficient (ICC)." In Encyclopedia of Quality of Life and Well-Being Research, 1–2. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-69909-7_1528-2.

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Ahmed, S. E., and S. M. Khan. "Using Several Data to Structure Efficient Estimation of Intraclass Correlation Coefficients." In Measurement and Multivariate Analysis, 197–206. Tokyo: Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-65955-6_21.

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Bliese, Paul D., Eliza W. Wicher, and Dhuha Abdulsalam. "Optimizing Differences Between Groups Is Important." In Employee Surveys and Sensing, 288–305. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190939717.003.0018.

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Firms rely on aggregate responses from engagement survey data in order to differentiate between teams of direct reports under specific managers, divisions, business units, etc. In this chapter, the authors show that items vary with respect to being able to differentiate groups and provide concrete and practical information relevant to selecting items used in engagement surveys. Specifically, the authors show how item-level intraclass correlation coefficient type 1 (ICC[1]) values can provide useful information to optimize group differentiation beyond traditional psychometrics. Using multiple examples from applied settings, they provide insights regarding interpreting ICC(1) values, wording of survey items, stability of ICC(1) values, and the difference between ICC(1) values and traditional psychometric values.
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"Optimal moving window width in conjunction with intraclass correlation coefficient for identification of soil layer boundaries." In Geotechnical Risk and Safety, 295–300. CRC Press, 2009. http://dx.doi.org/10.1201/9780203867310-48.

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Lim, J., E. Goh, S. Ng, and M. Selamat. "Optimal moving window width in conjunction with intraclass correlation coefficient for identification of soil layer boundaries." In Geotechnical Risk and Safety. CRC Press, 2009. http://dx.doi.org/10.1201/9780203867310.ch36.

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"The problem of unknown intraclass correlation coefficients." In Power Analysis of Trials with Multilevel Data, 223–36. Chapman and Hall/CRC, 2015. http://dx.doi.org/10.1201/b18676-15.

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Conference papers on the topic "Intraclass correlation coefficient"

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González-López, V. A., J. M. Singer, N. I. Tanaka, and A. C. Pedroso-de-Lima. "A Bayesian test for the intraclass correlation coefficient." In XI BRAZILIAN MEETING ON BAYESIAN STATISTICS: EBEB 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4759601.

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Yan Wang and Shouying Zhao. "Intraclass correlation coefficient and its application to quality tests of measurement instrument." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011. http://dx.doi.org/10.1109/csss.2011.5974773.

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Hyung-Min Park and Ho-Won Jung. "Evaluating interrater agreement with intraclass correlation coefficient in SPICE-based software process assessment." In Third International Conference on Quality Software, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/qsic.2003.1319115.

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Vardoulis, Orestis, Theodore G. Papaioannou, and Nikos Stergiopulos. "A New Pulse Contour Analysis for Cardiac Output Estimation: The Systolic Volume Balance Method." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80167.

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Cardiac output (CO) monitoring is essential for the optimal management of critically ill patients. Several methods have been proposed for CO estimation based on arterial pressure waveform analysis, known as “pulse contour cardiac output” (PCCO) monitoring. Most of them are based on invasive recording of blood pressure and require repeated calibrations, while they are still subject to inaccuracy under specific conditions. The Systolic Volume Balance (SVB) method was developed as a new non-invasive method based on physical principles and was further validated by a one-dimensional model of the systemic arterial tree. CO estimates were compared against the “real” CO values of the one dimensional model. 507 different hemodynamic cases were simulated by altering heart rate (HR), total arterial compliance (C) and total arterial resistance (R). It was found that CO can be accurately estimated by the new SVB formula. The bias between the brachial PCCO and the model’s CO was 0.042 L/min with 0.341 L/min SD of difference. The limits of agreement were −0.7–0.6 L/min indicating high precision. The intraclass correlation coefficient and the root mean square error between estimated and “real” CO values were 0.861 and 0.041 L/min respectively, indicating good accuracy and agreement.
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Kirkwood, Renata Noce, Natália Cristina Lisboa Batista, Larissa Bragança Falcão Marques, Juliana de Melo Ocarino, Lucas Lobo Alcântara Neves, and Bruno de Souza Moreira. "CROSS-CULTURAL ADAPTATION AND RELIABILITY OF THE FUNCTIONAL GAIT ASSESSMENT FOR OLDER BRAZILIANS." In XXII Congresso Brasileiro de Geriatria e Gerontologia. Zeppelini Publishers, 2021. http://dx.doi.org/10.5327/z2447-21232021res07.

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INTRODUCTION: Many instruments have been used to identify older adults at risk of falling, including performance-oriented mobility assessment, timed up and go test, Berg balance scale, and dynamic gait index. However, there have been reports of these clinical tests having a ceiling effect on community-dwelling older adults. To address this issue, the functional gait assessment was developed based on the dynamic gait index. Therefore, the functional gait assessment is an instrument that assesses postural stability during tasks that cause changes in gait patterns. OBJECTIVES: To translate and cross-culturally adapt the functional gait assessment to the Brazilian Portuguese language and to assess its psychometric properties in older Brazilians living in the community. METHODS: The process of translation and cross-cultural adaptation followed the recommendations of international guidelines. The pre-final version was administered to a sample of 30 older adults, both male and female, living independently in the community. To examine the psychometric properties (reliability, standard error of measurement, and internal consistency), 70 older adults aged 60 to 87 years were evaluated. RESULTS: The original and the translated versions were considered conceptually equivalent. All functional gait assessment items whose numbers were measured in inches and feet were converted to centimeters and rounded off to comply with the unit of measurement used in Brazil. The functional gait assessment-Brazil showed excellent inter- and intraexaminer reliability (intraclass correlation coefficient > 0.90), low standard error of measurement (range = 1.03 to 1.52), and good internal consistency (Cronbach alpha = 0.858). CONCLUSIONS: The functional gait assessment-Brazil is a semantically, linguistically, and psychometrically appropriate instrument for assessing balance during walking in community-dwelling older adults.
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