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Jackknife-after-Bootstrap (JaB) has first been proposed by  then used by  and  to detect influential observations in linear regression models. In this study, we propose using JaB to detect influential observations in logistic regression model. Performance of the proposed method will be compared with the traditional method for standardized Pearson… (More)