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- W2133727316 abstract "Abstract The logistic regression classification method uses parameter estimates that are the solution of an estimating equation. This article derives a convenient expression for the bias of a vector estimator defined by estimating equations. The expression and the results of O'Neill are used to derive the bias and the error or misclassification rate of logistic regression classification in two examples where the assumed model for logistic regression does not hold. Logistic regression classification is found to be very robust for the departures considered." @default.
- W2133727316 created "2016-06-24" @default.
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- W2133727316 date "1994-12-01" @default.
- W2133727316 modified "2023-09-25" @default.
- W2133727316 title "The Bias of Estimating Equations with Application to the Error Rate of Logistic Discrimination" @default.
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- W2133727316 doi "https://doi.org/10.1080/01621459.1994.10476888" @default.
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