Title | A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data |
Publication Type | Journal Article |
Year of Publication | 2008 |
Authors | Liu, W, WU, LANG |
Journal | Computational Statistics & Data Analysis |
Volume | 53 |
Pagination | 112–122 |
Date Published | sep |
ISSN | 0167-9473 |
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. |
URL | http://www.sciencedirect.com/science/article/pii/S0167947308003290 |
DOI | 10.1016/j.csda.2008.06.018 |