Model Checking for Logistic Regression: A Conditional Approach,
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1992
- Accession Number
- ADP007136
Entities
People
- Edward J. Bedrick
- Joe R. Hill
Organizations
- University of New Mexico