方法对比
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| 组内相关系数 (ICC)× | Bland-Altman 方法一致性分析× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1979 | 1986 |
| 提出者≠ | Shrout & Fleiss | J. Martin Bland & Douglas G. Altman |
| 类型≠ | Reliability / agreement coefficient | Graphical and statistical method comparison |
| 开创性文献≠ | Shrout, P.E. & Fleiss, J.L. (1979). Intraclass Correlations: Uses in Assessing Rater Reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗ | Bland, J.M. & Altman, D.G. (1986). Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. Lancet, 327(8476), 307–310. DOI ↗ |
| 别名 | ICC, intraclass correlation, rater reliability coefficient, Sınıf İçi Korelasyon Katsayısı (ICC) | Bland-Altman plot, limits of agreement analysis, method agreement analysis, Bland-Altman Uyum Analizi |
| 相关 | 5 | 5 |
| 摘要≠ | The Intraclass Correlation Coefficient (ICC) is a parametric reliability statistic that quantifies the degree of agreement or consistency among repeated measurements or multiple raters on a continuous outcome. The modern six-form taxonomy was established by Shrout and Fleiss in 1979 and remains the standard framework for selecting and reporting ICC in inter-rater reliability, test-retest repeatability, and multilevel-data analyses. | 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. |
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