An Alternative Parameterization of the General Linear Mixture Model for Longitudinal Data with Non-Ignorable Drop-Outs. Fitzmaurice, G. M., Laird, N. M., & Shneyer, L. Stat Med, 20:1009-1021, 2001.
bibtex   
@article{fit01alt,
  title = {An Alternative Parameterization of the General Linear Mixture Model for Longitudinal Data with Non-Ignorable Drop-Outs},
  volume = {20},
  journal = {Stat Med},
  author = {Fitzmaurice, Garrett M. and Laird, Nan M. and Shneyer, Lucy},
  year = {2001},
  keywords = {informative-censoring,serial-data,repeated-measures,informative-dropout,nonrandom-dropout,non-ignorable-non-response},
  pages = {1009-1021},
  citeulike-article-id = {13265190},
  posted-at = {2014-07-14 14:09:51},
  priority = {0},
  annote = {tries to solve problems caused by methods which condition on dropout times when trying to marginalize over the distribution of dropout times (this caused unconditional means to not be linear in the original parameters)}
}

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