The Hosmer-Lemeshow statistic, calibration-in-the-large and the calibration-slope are used to determine whether a model is well calibrated. These test assess whether the observed event rates match expected event rates in subgroups of the population. Models for which expected and observed event rates in subgroups are similar are said to be well calibrated.