An approach to the logistic modeling of interobserver agreement is described that allows for the estimation of a commonly employed measure of agreement.

The dependent variable is defined to be 1 if the two raters agree, and 0 otherwise.

Covariates may be included in the regression equation in order to obtain adjusted or subgroup-specific estimates of percent agreement.

As an empirical example, logistic models were fitted to data from a validation study of the agreement between interview information and physician records on the history of post-menopausal estrogen use, from a case-control study of breast cancer conducted on Oahu, Hawaii.