@article{cha15lik,
  title = {Likelihood-Based Inferences about the Mean Area under a Longitudinal Curve in the Presence of Observations Subject to Limits of Detection.},
  volume = {14},
  issn = {1539-1612},
  abstract = {Comparison of groups in longitudinal studies is often conducted using the area under the outcome versus time curve. However, outcomes may be subject to censoring due to a limit of detection and specific methods that take informative missingness into account need to be applied. In this article, we present a unified model-based method that accounts for both the within-subject variability in the estimation of the area under the curve as well as the missingness mechanism in the event of censoring. Simulation results demonstrate that our proposed method has a significant advantage over traditionally implemented methods with regards to its inferential properties. A working example from an AIDS study is presented to demonstrate the applicability of our approach.},
  number = {3},
  journal = {Pharm Stat},
  author = {Chandrasekhar, Rameela and Shi, Yi and Hutson, Alan D. and Wilding, Gregory E.},
  year = {2015},
  keywords = {ctsafac},
  pages = {252-261},
  citeulike-article-id = {14033344},
  citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/25832442},
  citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=25832442},
  pmid = {25832442},
  posted-at = {2016-05-11 17:26:17},
  priority = {2}
}

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