Akaike's information criterion in generalized estimating equations.

@article{Pan2001AkaikesIC,
  title={Akaike's information criterion in generalized estimating equations.},
  author={Wei Pan},
  journal={Biometrics},
  year={2001},
  volume={57 1},
  pages={
          120-5
        }
}
Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is nonlikelihood based. We propose a modification to AIC, where the likelihood is replaced by the quasi… CONTINUE READING

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