GEE with Gaussian estimation of the correlations when data are incomplete.

@article{Lipsitz2000GEEWG,
  title={GEE with Gaussian estimation of the correlations when data are incomplete.},
  author={Stuart R. Lipsitz and Geert Molenberghs and Garrett M. Fitzmaurice and Joseph G. Ibrahim},
  journal={Biometrics},
  year={2000},
  volume={56 2},
  pages={528-36}
}
This paper considers a modification of generalized estimating equations (GEE) for handling missing binary response data. The proposed method uses Gaussian estimation of the correlation parameters, i.e., the estimating function that yields an estimate of the correlation parameters is obtained from the multivariate normal likelihood. The proposed method yields consistent estimates of the regression parameters when data are missing completely at random (MCAR). However, when data are missing at… CONTINUE READING

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