Summarizing the goodness of fit of generalized linear models for longitudinal data

Authors

  • Beiyao Zheng

    Corresponding author
    1. Wake Forest University School of Medicine, Department of Public Health Sciences, Medical Center Boulevard, Winston-Salem, NC 27157-1051, U.S.A.
    • Wake Forest University School of Medicine, Department of Public Health Sciences, Medical Center Boulevard, Winston-Salem, NC 27157-1051, U.S.A.
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Abstract

This paper extends four goodness-of-fit measures of a generalized linear model (GLM) to random effects and marginal models for longitudinal data. The four measures are the proportional reduction in entropy measure, the proportional reduction in deviance measure, the concordance correlation coefficient and the concordance index. The extended measures satisfy the basic requirements for measures of association. Two examples illustrate their use in model selection. Copyright © 2000 John Wiley & Sons, Ltd.

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