A Fast Computational Formula for Kappa Coefficient

Loc Nguyen; Hang Ho

doi:doi:10.11648/j.sjcm.20150401.11

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A Fast Computational Formula for Kappa Coefficient

Loc Nguyen, Hang Ho

Published in Science Journal of Clinical Medicine (Volume 4, Issue 1)

Received: 26 December 2013 Accepted: 15 September 2014 Published: 12 January 2015

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Abstract

Kappa coefficient is very important in clinical research when there is a requirement of inter-agreement among physicians who measure clinical data. It is too complicated to calculate traditional Kappa formula in huge data because of many arithmetic operations for determining probability of observed agreement and probability of chance agreement. Therefore, this research proposes a fast computational formula for Kappa coefficient based on comments about probability of observed agreement and probability of chance agreement. These comments lead to the method to save time cost when calculating Kappa coefficient and to reduce the number of arithmetic operations at least. Finally, such fast formula is applied into the gestational data measured in real world so as to evaluate its strong point.

Published in	Science Journal of Clinical Medicine (Volume 4, Issue 1)
DOI	10.11648/j.sjcm.20150401.11
Page(s)	1-3
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Kappa Coefficient, Fast Computational Formula

References

[1]	Gwet, K. (2002) Kappa Statistic is not Satisfactory for Assessing the Extent of Agreement Between Raters. Statistical Methods For Inter-Rater Reliability Assessment, No. 1, April 2002.
[2]	Ho, H., Phan, D. (2011). Estimation of fetal weight from 37 to 42 weeks based on 2-dimensional ultrasound measures. Journal of Practical Medicine, volume 12 (797) 2011, pp. 8– 9.
[3]	Wikipedia. (2014) Cohen’s kappa. URL (last checked September 13 2014) is http://en.wikipedia.org/wiki/Cohen%27s_kappa.

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APA Style

Loc Nguyen, Hang Ho. (2015). A Fast Computational Formula for Kappa Coefficient. Science Journal of Clinical Medicine, 4(1), 1-3. https://doi.org/10.11648/j.sjcm.20150401.11

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ACS Style

Loc Nguyen; Hang Ho. A Fast Computational Formula for Kappa Coefficient. Sci. J. Clin. Med. 2015, 4(1), 1-3. doi: 10.11648/j.sjcm.20150401.11

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AMA Style

Loc Nguyen, Hang Ho. A Fast Computational Formula for Kappa Coefficient. Sci J Clin Med. 2015;4(1):1-3. doi: 10.11648/j.sjcm.20150401.11

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@article{10.11648/j.sjcm.20150401.11,
  author = {Loc Nguyen and Hang Ho},
  title = {A Fast Computational Formula for Kappa Coefficient},
  journal = {Science Journal of Clinical Medicine},
  volume = {4},
  number = {1},
  pages = {1-3},
  doi = {10.11648/j.sjcm.20150401.11},
  url = {https://doi.org/10.11648/j.sjcm.20150401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20150401.11},
  abstract = {Kappa coefficient is very important in clinical research when there is a requirement of inter-agreement among physicians who measure clinical data. It is too complicated to calculate traditional Kappa formula in huge data because of many arithmetic operations for determining probability of observed agreement and probability of chance agreement. Therefore, this research proposes a fast computational formula for Kappa coefficient based on comments about probability of observed agreement and probability of chance agreement. These comments lead to the method to save time cost when calculating Kappa coefficient and to reduce the number of arithmetic operations at least. Finally, such fast formula is applied into the gestational data measured in real world so as to evaluate its strong point.},
 year = {2015}
}

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TY  - JOUR
T1  - A Fast Computational Formula for Kappa Coefficient
AU  - Loc Nguyen
AU  - Hang Ho
Y1  - 2015/01/12
PY  - 2015
N1  - https://doi.org/10.11648/j.sjcm.20150401.11
DO  - 10.11648/j.sjcm.20150401.11
T2  - Science Journal of Clinical Medicine
JF  - Science Journal of Clinical Medicine
JO  - Science Journal of Clinical Medicine
SP  - 1
EP  - 3
PB  - Science Publishing Group
SN  - 2327-2732
UR  - https://doi.org/10.11648/j.sjcm.20150401.11
AB  - Kappa coefficient is very important in clinical research when there is a requirement of inter-agreement among physicians who measure clinical data. It is too complicated to calculate traditional Kappa formula in huge data because of many arithmetic operations for determining probability of observed agreement and probability of chance agreement. Therefore, this research proposes a fast computational formula for Kappa coefficient based on comments about probability of observed agreement and probability of chance agreement. These comments lead to the method to save time cost when calculating Kappa coefficient and to reduce the number of arithmetic operations at least. Finally, such fast formula is applied into the gestational data measured in real world so as to evaluate its strong point.
VL  - 4
IS  - 1
ER  -

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Author Information

Loc Nguyen

Sunflower Soft Company, Ho Chi Minh City, Vietnam
Hang Ho

Vinh Long General Hospital, Vinh Long Province, Vietnam

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Plain Text BibTeX RIS

APA Style

Loc Nguyen, Hang Ho. (2015). A Fast Computational Formula for Kappa Coefficient. Science Journal of Clinical Medicine, 4(1), 1-3. https://doi.org/10.11648/j.sjcm.20150401.11

Copy | Download

ACS Style

Loc Nguyen; Hang Ho. A Fast Computational Formula for Kappa Coefficient. Sci. J. Clin. Med. 2015, 4(1), 1-3. doi: 10.11648/j.sjcm.20150401.11

Copy | Download

AMA Style

Loc Nguyen, Hang Ho. A Fast Computational Formula for Kappa Coefficient. Sci J Clin Med. 2015;4(1):1-3. doi: 10.11648/j.sjcm.20150401.11

Copy | Download

@article{10.11648/j.sjcm.20150401.11,
  author = {Loc Nguyen and Hang Ho},
  title = {A Fast Computational Formula for Kappa Coefficient},
  journal = {Science Journal of Clinical Medicine},
  volume = {4},
  number = {1},
  pages = {1-3},
  doi = {10.11648/j.sjcm.20150401.11},
  url = {https://doi.org/10.11648/j.sjcm.20150401.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20150401.11},
  abstract = {Kappa coefficient is very important in clinical research when there is a requirement of inter-agreement among physicians who measure clinical data. It is too complicated to calculate traditional Kappa formula in huge data because of many arithmetic operations for determining probability of observed agreement and probability of chance agreement. Therefore, this research proposes a fast computational formula for Kappa coefficient based on comments about probability of observed agreement and probability of chance agreement. These comments lead to the method to save time cost when calculating Kappa coefficient and to reduce the number of arithmetic operations at least. Finally, such fast formula is applied into the gestational data measured in real world so as to evaluate its strong point.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - A Fast Computational Formula for Kappa Coefficient
AU  - Loc Nguyen
AU  - Hang Ho
Y1  - 2015/01/12
PY  - 2015
N1  - https://doi.org/10.11648/j.sjcm.20150401.11
DO  - 10.11648/j.sjcm.20150401.11
T2  - Science Journal of Clinical Medicine
JF  - Science Journal of Clinical Medicine
JO  - Science Journal of Clinical Medicine
SP  - 1
EP  - 3
PB  - Science Publishing Group
SN  - 2327-2732
UR  - https://doi.org/10.11648/j.sjcm.20150401.11
AB  - Kappa coefficient is very important in clinical research when there is a requirement of inter-agreement among physicians who measure clinical data. It is too complicated to calculate traditional Kappa formula in huge data because of many arithmetic operations for determining probability of observed agreement and probability of chance agreement. Therefore, this research proposes a fast computational formula for Kappa coefficient based on comments about probability of observed agreement and probability of chance agreement. These comments lead to the method to save time cost when calculating Kappa coefficient and to reduce the number of arithmetic operations at least. Finally, such fast formula is applied into the gestational data measured in real world so as to evaluate its strong point.
VL  - 4
IS  - 1
ER  -

Copy | Download