@article {liu_semiparametric_2008,
	title = {A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data},
	journal = {Computational Statistics \& Data Analysis},
	volume = {53},
	number = {1},
	year = {2008},
	month = {sep},
	pages = {112{\textendash}122},
	abstract = {Semiparametric nonlinear mixed-effects (NLME) models are very flexible in modeling long-term HIV viral dynamics. In practice, statistical analyses are often complicated due to measurement errors and missing data in covariates and non-ignorable missing data in the responses. We consider likelihood methods which simultaneously address measurement error and missing data problems. A real dataset is analyzed in detail, and a simulation study is conducted to evaluate the methods.},
	issn = {0167-9473},
	doi = {10.1016/j.csda.2008.06.018},
	url = {http://www.sciencedirect.com/science/article/pii/S0167947308003290},
	author = {Liu, Wei and WU, LANG}
}
