Geodesic
A note on robust estimation in logistic regression model
Discussiones Mathematicae. Probability and Statistics, Tome 36 (2016) no. 1-2, pp. 43-51.

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Computationally attractive Fisher consistent robust estimation methods based on adaptive explanatory variables trimming are proposed for the logistic regression model. Results of a Monte Carlo experiment and a real data analysis show its good behavior for moderate sample sizes. The method is applicable when some distributional information about explanatory variables is available.
Keywords: logistic model, robust estimation 
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Bednarski, Tadeusz. A note on robust estimation in logistic regression model. Discussiones Mathematicae. Probability and Statistics, Tome 36 (2016) no. 1-2, pp. 43-51. http://geodesic.mathdoc.fr/item/DMPS_2016_36_1-2_a2/

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