Model Checking for Logistic Regression: A Conditional Approach,
NEW MEXICO UNIV ALBUQUERQUE DEPT OF MATHEMATICS AND STATISTICS
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We review the use of exact methods for checking logistic regression models. We focus on global model checks, outlier detection, and goodness-of-link checks. We discuss approximations to exact conditional methods whenever available. We also contrast exact conditional methods and standard unconditional methods based on asymptotic approximations. The techniques are applied to two examples.
- Statistics and Probability