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- W4385486542 abstract "Logistic regression is an algorithm for classification in two classes. We discuss the interpretation of the coefficients, prediction, and estimation. A case study discusses pharmacy compliance with a California Senate Bill as a function of various covariates. The case study illustrates ROC curves, AUC values, accuracy, sensitivity, specificity, and other evaluation measures. Finally, we point out logistic can be surprisingly hard to beat for prediction, particularly when many of the variables are indicator variables." @default.
- W4385486542 created "2023-08-03" @default.
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- W4385486542 date "2023-01-01" @default.
- W4385486542 modified "2023-09-23" @default.
- W4385486542 title "Logistic Regression" @default.
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- W4385486542 doi "https://doi.org/10.1007/978-3-031-33390-3_4" @default.
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