@article{lia00lon,
  title = {Longitudinal Data Analysis of Continuous and Discrete Responses for Pre-Post Designs},
  volume = {62},
  journal = {Sankhy{\=a}},
  author = {Liang, Kung-Yee and Zeger, Scott L.},
  year = {2000},
  keywords = {rct,clinical-trials,longitudinal-data,serial-data,repeated-measures,random-effects-model,change-score,ancova,change,pre-post-design},
  pages = {134-148},
  citeulike-article-id = {13265666},
  posted-at = {2014-07-14 14:10:01},
  priority = {0},
  annote = {makes an error in assuming the baseline variable will have the same univariate distribution as the response except for a shift;baseline may have for example a truncated distribution based on a trial's inclusion criteria;if correlation between baseline and response is zero, ANCOVA will be twice as efficient as simple analysis of change scores;if correlation is one they may be equally efficient}
}

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