Abstract: Analysis of electronic data which comprises, for each of a set of physical entities, attribute values representing attributes of the respective physical entity and an outcome value representing an observed outcome for the entity which may be used to generate a model for predicting the outcome value for another physical entity of the same type. The data is processed using a statistical modelling method to generate a model based on the data. The method then involves calculating a case deleted estimate of the outcome value for each of the set of physical entities using the processor; calculating a measure of the deviance of the case deleted estimates from the actual outcome values in the input data; and outputting the calculated deviance measure to the data storage for retrieval by a user.

Abstract: Methods for analysis of electronic data which comprises, for each of a set of physical entities, attribute values representing attributes of the respective physical entity and an outcome value representing an observed outcome for the entity which may be used to generate a model for predicting the outcome value for another physical entity of the same type. The data is processed using a statistical modelling method to generate a model based on the data. The method then involves calculating a case deleted estimate of the outcome value for each of the set of physical entities using the processor; calculating a measure of the deviance of the case deleted estimates from the actual outcome values in the input data; and outputting the calculated deviance measure to the data storage for retrieval by a user.