@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} }