Key points are not available for this paper at this time.
The influence of explanatory variables in a logistic model is considered when the goal is to determine the predictive probability of a future observation in a Bayesian approach. We consider whether the predictive distribution will change greatly when subsets of the explanatory variables are omitted from the data set or from the future observation.
Bhattacharjee et al. (Tue,) studied this question.