방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| Bland-Altman 방법 비교 분석× | 코헨의 카파 계수× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1986 | 1960 |
| 창시자≠ | J. Martin Bland & Douglas G. Altman | Jacob Cohen |
| 유형≠ | Graphical and statistical method comparison | Inter-rater reliability coefficient |
| 원전≠ | Bland, J.M. & Altman, D.G. (1986). Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. Lancet, 327(8476), 307–310. DOI ↗ | Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗ |
| 별칭≠ | Bland-Altman plot, limits of agreement analysis, method agreement analysis, Bland-Altman Uyum Analizi | kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum) |
| 관련≠ | 5 | 3 |
| 요약≠ | The Bland-Altman analysis is a graphical and statistical technique for assessing agreement between two measurement methods applied to the same subjects. Introduced by J. Martin Bland and Douglas G. Altman in their landmark 1986 Lancet paper, it plots the difference between the two methods against their mean for each subject, and derives the bias (mean difference) along with limits of agreement (LoA) that capture 95% of differences in the population. | Cohen's kappa (κ) is a statistical measure of inter-rater reliability for categorical classifications, introduced by Jacob Cohen in 1960. Unlike simple percent agreement, kappa corrects for the level of agreement that would be expected purely by chance, making it the standard metric when two raters independently assign observations to the same set of mutually exclusive categories. |
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