Though the likelihood is a useful tool for obtaining estimates of regression parameters, it is not readily available in the fit of hierarchical binary data models. The correlated observations negate the opportunity to have a joint likelihood when fitting hierarchical logistic regression models. Through conditional likelihood, inferences for the regression and covariance parameters as well as the intraclass correlation coefficients are usually obtained.
Download count: 0
- Partial requirement for: Ph.D., Arizona State University, 2017Note typethesis
- Includes bibliographical references (pages 94-100)Note typebibliography
- Field of study: Statistics