Measures of interrater agreement for quantitative data

In this paper measures of interrater absolute agreement for quantitative measure ments based on the standard deviation are proposed. Such indices allow (i) to overcome the limits afecting the intraclass correlation index; (ii) to measure the interrater agreement on single targets. Estimators of the proposed measures are introduced and their sampling properties are investigated for normal and non-normal data. Simulated data are employed to demonstrate the accuracy and practical utility of the new indices for assessing agreement. Finally, an application to assess the con sistency of measurements performed by radiologists evaluating tumor size of lung cancer is presented.