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Diagnostics in logistic regression models
Sugata Sen Roy 한국통계학회 2008 Journal of the Korean Statistical Society Vol.37 No.2
In this paper we study the diagnostics of a logistic regression model using the deletion of observation technique. The model istted using the maximum likelihood method and the changes in the estimates and the deviance are observed when the model isretted after deleting an observation. Expressions are derived so that it is not necessary to re-run the regression after each deletion,thereby considerably saving the computational time.