Time-Varying Effect Modeling with Longitudinal Data Truncated by Death: Conditional Models, Interpretations, and Inference. Estes, J. P., Nguyen, D. V., Dalrymple, L. S., Mu, Y., & ¸Sentürk, D. Stat Med, 35(11):1834-1847, May, 2016.
doi  bibtex   
@article{est16tim,
  title = {Time-Varying Effect Modeling with Longitudinal Data Truncated by Death: Conditional Models, Interpretations, and Inference},
  volume = {35},
  issn = {02776715},
  number = {11},
  journal = {Stat Med},
  doi = {10.1002/sim.6836},
  author = {Estes, Jason P. and Nguyen, Danh V. and Dalrymple, Lorien S. and Mu, Yi and \c{}Sent{\"u}rk, Damla},
  month = may,
  year = {2016},
  keywords = {multiple-endpoints,survival-analysis,handling-deaths-when-studying-nonfatal-endpoints,truncation-by-death},
  pages = {1834-1847},
  citeulike-article-id = {14240457},
  citeulike-attachment-1 = {est16tim.pdf; /pdf/user/harrelfe/article/14240457/1096089/est16tim.pdf; 0c16eab438d2001e67f4b81afe6702bcb13dd229},
  citeulike-linkout-0 = {http://dx.doi.org/10.1002/sim.6836},
  day = {20},
  posted-at = {2016-12-29 15:52:57},
  priority = {2}
}

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