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}
}
Downloads: 0
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