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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

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.

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    Date Created
    • 2017
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  • Text
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    • Partial requirement for: Ph.D., Arizona State University, 2017
      Note type
      thesis
    • Includes bibliographical references (pages 94-100)
      Note type
      bibliography
    • Field of study: Statistics

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    by Bei Wang

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