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
        }
}
  • Wei Pan
  • Published in Biometrics 2001
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

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 718 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-4 OF 4 REFERENCES

A cautionary note on in -

  • M. S. Pepe, G. Anderson
  • 1994

The analysis of discrete longitudinal data : Chapman and Hall

  • S. L. Zeger
  • Commentary . Statistics i n Medicine
  • 1988

Quasi - likelihood functions , Received June 1999 . Revised December 1999 and June 2000 . generalized linear models , and the GaussNewton methAccepted June 2000

  • R. W. M. Wedderburn
  • od . Biometrika
  • 1974

Similar Papers

Loading similar papers…