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Estimating a Logistic Discrimination Functions When One of the Training Samples Is Subject to Misclassification: A Maximum Likelihood Approach.

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Table 2. Parameter estimates and their standard errors of DLR and LR estimation.
Table 3. Summary statistics of risk factors age, daily alcohol, and daily tobacco use, among esopha- esopha-gus cancer cases (n = 200) and controls (n = 776).
Table 4. Parameter estimates and their standard errors of DLR and LR estimation
Fig 3. ROC curve for artificially mislabeled control group data of Example 2.

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