Doubly robust generalized estimating equations for longitudinal data.

@article{Seaman2009DoublyRG,
  title={Doubly robust generalized estimating equations for longitudinal data.},
  author={Shaun R. Seaman and Andrew J Copas},
  journal={Statistics in medicine},
  year={2009},
  volume={28 6},
  pages={937-55}
}
A popular method for analysing repeated-measures data is generalized estimating equations (GEE). When response data are missing at random (MAR), two modifications of GEE use inverse-probability weighting and imputation. The weighted GEE (WGEE) method involves weighting observations by their inverse probability of being observed, according to some assumed missingness model. Imputation methods involve filling in missing observations with values predicted by an assumed imputation model. WGEE are… CONTINUE READING

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