mesure of calibration calibration intercept A measure of calibration that is the difference between the mean expected value and the mean observed value. For calibration of binary outcome variables (0 or 1), the calibration intercept is computed from a statistical model where the log odds of the predicted probabilities is a linear function of the empirical frequencies. For calibration of count outcome variables (0, 1, 2, 3, ...), the calibration intercept may be computed from a statistical model where the log of the predicted mean counts is a linear function of the empirical frequencies determined by unique combinations of the covariates. There are other types of outcome variables for which the calibration-in-the-large measure may be obtained. The notion of calibration in the large is that the intercept is a gross assessment of whether the average prediction matches the average outcome, however, this interpretation is exquisitely sensitive to the choice of referent factors within the prediction model. Harold Lehmann, Ken Wilkins, Muhammad Afzal, Joanne Dehnbostel, Khalid Shahin. Philippe Rocca-Serra SEVCO group ready for release