Statistical notes for clinical researchers: Evaluation of measurement error 2: Dahlberg’s error, Bland-Altman method, and Kappa coefficient
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In evaluation of measurement error, the intraclass correlation coefficient (ICC) is very useful in assessing both consistency and agreement as mentioned in the previous Statistical Notes. There are other useful and popular measures of measurement error,such as the Dahlberg error and Bland-Altman method for continuous variables, or the Kappa coefficient for categorical variables.
Abstract
In evaluation of measurement error, the intraclass correlation coefficient (ICC) is very useful in assessing both consistency and agreement as mentioned in the previous Statistical Notes. There are other useful and popular measures of measurement error,such as the Dahlberg error and Bland-Altman method for continuous variables, or the Kappa coefficient for categorical variables.
참고문헌 (4)
- Donatelli RE, "How to report reliability in orthodontic research: Part 1", Am J Orthod Dentofacial Orthop, 144, pp.156~161 (2013)
- Dahlberg G, "Statistical methods for medical and biological students", pp.122~132 (1940), George Allen and Unwin
- Bland JM, "Statistical methods for assessing agreement between two methods of clinical measurements", Lancet, 1, pp.307~310 (1986)
- Cohen J, "A coefficient of agreement for nominal scales", Educ Psychol Meas, 20, pp.37~46 (1960)
