Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kilem L. Gwet"'
Autor:
Sergey V. Nesterov, Emmanuel Deshayes, Luis Eduardo Juarez-Orozco, Robert A. deKemp, Roberto Sciagrà, Simona Malaspina, Leonardo Settimo, Chunlei Han, Darja V. Ryzhkova, Irina S. Kostina, Kilem L. Gwet, John O. Prior, Juhani M. Knuuti
Publikováno v:
Annals of nuclear medicine, vol. 36, no. 6, pp. 507-514
Purpose To estimate the interobserver agreement of the Carimas software package (SP) on global, regional, and segmental levels for the most widely used myocardial perfusion PET tracer—Rb-82. Materials and methods Rest and stress Rb-82 PET scans of
Autor:
Kilem L. Gwet
Publikováno v:
Educ Psychol Meas
Cohen’s kappa coefficient was originally proposed for two raters only, and it later extended to an arbitrarily large number of raters to become what is known as Fleiss’ generalized kappa. Fleiss’ generalized kappa and its large-sample variance
Autor:
Robert A. deKemp, John O. Prior, Juhani Knuuti, Roberto Sciagrà, Chunlei Han, Darja V. Ryzhkova, Luis Eduardo Juarez Orozco, Leonardo Settimo, Kilem L. Gwet, Emmanuel Deshayes, Sergey V. Nesterov
Publikováno v:
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology. 29(5)
Purpose To cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels. Materials and Methods Stress N-13 ammonia PET scans of 48 patients with HCM were analy
Autor:
Kilem L. Gwet
Publikováno v:
Educational and Psychological Measurement. 76:609-637
This article addresses the problem of testing the difference between two correlated agreement coefficients for statistical significance. A number of authors have proposed methods for testing the difference between two correlated kappa coefficients, w
Autor:
Kilem L. Gwet
Publikováno v:
Psychometrika. 73:407-430
Most inter-rater reliability studies using nominal scales suggest the existence of two populations of inference: the population of subjects (collection of objects or persons to be rated) and that of raters. Consequently, the sampling variance of the
Autor:
Sergey V, Nesterov, Emmanuel, Deshayes, Roberto, Sciagrà, Leonardo, Settimo, Jerome M, Declerck, Xiao-Bo, Pan, Keiichiro, Yoshinaga, Chietsugu, Katoh, Piotr J, Slomka, Guido, Germano, Chunlei, Han, Ville, Aalto, Adam M, Alessio, Edward P, Ficaro, Benjamin C, Lee, Stephan G, Nekolla, Kilem L, Gwet, Robert A, deKemp, Ran, Klein, John, Dickson, James A, Case, Timothy, Bateman, John O, Prior, Juhani M, Knuuti
Publikováno v:
JACC: Cardiovascular Imaging
JACC: Cardiovascular Imaging, 2014, 7, pp.1119--27. ⟨10.1016/j.jcmg.2014.08.003⟩
JACC: Cardiovascular Imaging, Elsevier/American College of Cardiology, 2014, 7, pp.1119--27. ⟨10.1016/j.jcmg.2014.08.003⟩
JACC: Cardiovascular Imaging, 2014, 7, pp.1119--27. ⟨10.1016/j.jcmg.2014.08.003⟩
JACC: Cardiovascular Imaging, Elsevier/American College of Cardiology, 2014, 7, pp.1119--27. ⟨10.1016/j.jcmg.2014.08.003⟩
International audience; OBJECTIVES: The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography ((82)Rb PET) data using 10 software packages (SPs) base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::59e1be996bd9a9854b7a483fd035f597
https://hal.umontpellier.fr/hal-02181341
https://hal.umontpellier.fr/hal-02181341
Autor:
Kilem L. Gwet
Publikováno v:
The British journal of mathematical and statistical psychology. 61(Pt 1)
Pi (pi) and kappa (kappa) statistics are widely used in the areas of psychiatry and psychological testing to compute the extent of agreement between raters on nominally scaled data. It is a fact that these coefficients occasionally yield unexpected r
Publikováno v:
BMC Medical Research Methodology
Background Rater agreement is important in clinical research, and Cohen’s Kappa is a widely used method for assessing inter-rater reliability; however, there are well documented statistical problems associated with the measure. In order to assess i