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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.
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Bhattacharjee et al. (1991) studied this question.
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