Confidence sets and coverage probabilities based on preliminary estimators in logistic regression models

In this paper we present recentered confidence sets for the parameters of a logistic regression model based on preliminary minimum ϕ-divergence estimators. Asymptotic coverage probabilities are given as well as a simulation study in order to analyze the coverage probabilities for small and moderate sample sizes.