Comparison between exact and parametric distributions of multiple inter-raters agreement coefficient
| Autor: | M. Lehmann, Nicolas Mottet, Jean-Pierre Daurès, Navratil H |
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| Rok vydání: | 1995 |
| Předmět: |
Male
Observer Variation Linear model Prostatic Neoplasms Reproducibility of Results Health Informatics Regression analysis Computer Science Applications Inter-rater reliability Cohen's kappa Distribution (mathematics) Predictive Value of Tests Linear regression Statistics Linear Models Humans Regression Analysis Mathematical Computing Software Kappa Parametric statistics Mathematics |
| Zdroj: | Computer Methods and Programs in Biomedicine. 47:113-121 |
| ISSN: | 0169-2607 |
| DOI: | 10.1016/0169-2607(95)01646-b |
| Popis: | The Global Kappa statistic can be used for measuring the degree of agreement between more than two raters. In this paper, we give simple computation formulas in the case of dichotomic and no missing responses in order to describe the exact distribution of Kappa for various sets defined by the number of raters, of different examinations and of positive responses. By programming those computations with the SAS© software package, we were able to compare the exact and parametric distributions of Kappa. Although the correlation between parameters is high, a linear regression analysis shows that a strong imbalance between positive and negative responses can lead to misinterpretation of the results when using the parametric method. |
| Databáze: | OpenAIRE |
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