Cohen's kappa coefficient, which was introduced in 1960, serves as the most widely employed coefficient to assess inter-observer agreement for categorical outcomes. However, the original kappa can only be applied to cross-sectional binary measurements and, therefore, cannot be applied in the practical situation when the observers evaluate the same subjects at repeated time intervals. This study summarizes six methods of assessing agreement of repeated binary outcomes under different assumptions and discusses under which condition we should use the most appropriate method in practice. These approaches are illustrated using data from the CDC anthrax vaccine adsorbed (AVA) human clinical trial comparing the agreement for two solicited adverse ...
The kappa statistic is commonly used for quantifying inter-rater agreement on a nominal scale. In th...
We signal and discuss common methodological errors in agreement studies and the use of kappa indices...
Understanding inter-observer variability in clinical diagnosis is crucial for reliability studies. A...
Abstract Background In research designs that rely on observational ratings provided by two raters, a...
Agreement measures are useful tools to both compare different evaluations of the same diagnostic out...
AbstractAgreement measures are used frequently in reliability studies that involve categorical data....
Measuring agreement between qualified experts is commonly used to determine the effec-tiveness of a ...
Repeated measurement studies involve the collection of inherently multivariate data from the same su...
Objective: Determining how similarly multiple raters evaluate behavior is an important component of ...
The kappa statistic is frequently used to test interrater reliability. The importance of rater relia...
Abstract:Kappa statistics is used for the assessment of agreement between two or more raters when th...
Chance corrected agreement coefficients such as the Cohen and Fleiss Kappas are commonly used for th...
The bootstrap method for estimating the standard error of the kappa statistic in the presence of clu...
In observational studies, intensive longitudinal data are often collected by coding the presence/abs...
Background: Many methods under the umbrella of inter-rater agreement (IRA) have been proposed to eva...
The kappa statistic is commonly used for quantifying inter-rater agreement on a nominal scale. In th...
We signal and discuss common methodological errors in agreement studies and the use of kappa indices...
Understanding inter-observer variability in clinical diagnosis is crucial for reliability studies. A...
Abstract Background In research designs that rely on observational ratings provided by two raters, a...
Agreement measures are useful tools to both compare different evaluations of the same diagnostic out...
AbstractAgreement measures are used frequently in reliability studies that involve categorical data....
Measuring agreement between qualified experts is commonly used to determine the effec-tiveness of a ...
Repeated measurement studies involve the collection of inherently multivariate data from the same su...
Objective: Determining how similarly multiple raters evaluate behavior is an important component of ...
The kappa statistic is frequently used to test interrater reliability. The importance of rater relia...
Abstract:Kappa statistics is used for the assessment of agreement between two or more raters when th...
Chance corrected agreement coefficients such as the Cohen and Fleiss Kappas are commonly used for th...
The bootstrap method for estimating the standard error of the kappa statistic in the presence of clu...
In observational studies, intensive longitudinal data are often collected by coding the presence/abs...
Background: Many methods under the umbrella of inter-rater agreement (IRA) have been proposed to eva...
The kappa statistic is commonly used for quantifying inter-rater agreement on a nominal scale. In th...
We signal and discuss common methodological errors in agreement studies and the use of kappa indices...
Understanding inter-observer variability in clinical diagnosis is crucial for reliability studies. A...