Computing Information Agreement
This is an incremental improvement for researchers and practitioners using agreement measures in diagnostic evaluations.
The paper tackled the limitation of Information Agreement (IA) being unable to handle zero values in agreement matrices, and extended it to admit zero as a possible value.
Agreement measures are useful to both compare different evaluations of the same diagnostic outcomes and validate new rating systems or devices. Information Agreement (IA) is an information-theoretic-based agreement measure introduced to overcome all the limitations and alleged pitfalls of Cohen's Kappa. However, it is only able to deal with agreement matrices whose values are positive natural numbers. This work extends IA admitting also 0 as a possible value for the agreement matrix cells.