Informative cluster sizes for subcluster-level covariates and weighted generalized estimating equations.

@article{Huang2011InformativeCS,
  title={Informative cluster sizes for subcluster-level covariates and weighted generalized estimating equations.},
  author={Ying Che Huang and Brian LeRoux},
  journal={Biometrics},
  year={2011},
  volume={67 3},
  pages={843-51}
}
Williamson, Datta, and Satten's (2003, Biometrics 59, 36-42) cluster-weighted generalized estimating equations (CWGEEs) are effective in adjusting for bias due to informative cluster sizes for cluster-level covariates. We show that CWGEE may not perform well, however, for covariates that can take different values within a cluster if the numbers of observations at each covariate level are informative. On the other hand, inverse probability of treatment weighting accounts for informative… CONTINUE READING

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