It is valuable in many studies to assess both intrarater and interrater agreement. Most
measures of intrarater agreement do not adjust for unequal estimates of prevalence …

We investigate the properties of a measure of interrater agreement originally proposed by
Rogot and Goldberg. 1 Unlike commonly used measures, this measure not only adjusts for …

Background: Many methods under the umbrella of inter-rater agreement (IRA) have been
proposed to evaluate how well two or more medical experts agree on a set of outcomes. The …

The aim of the thesis was to assess the performance of a probability model developed to
describe an agreement study in which two raters assess a sample of subjects on a binary …

The need to assess agreement exists in various clinical studies where quantifying inter‐rater
reliability is of great importance. Use of unscaled agreement indices, such as total deviation …

Researchers have criticized chance-corrected agreement statistics, particularly the Kappa
statistic, as being very sensitive to raters' classification probabilities (marginal probabilities) …

We propose a new procedure for constructing inferences about a measure of interobserver
agreement in studies involving a binary outcome and multiple raters. The proposed …

Interrater agreement on binary measurements is usually assessed via Scott's π or Cohen's κ,
which are known to be difficult to interpret. One reason for this difficulty is that these …

Agreement among at least two evaluators is an issue of prime importance to statisticians,
clinicians, epidemiologists, psychologists, and many other scientists. Measuring …

We consider inference methods for interobserver agreement studies characterized by two
raters and several outcome categories that one can naturally combine to address a series of …