Lachos, Victor H.; Castro, Luis M.; Dey, Dipak K. - In: Computational Statistics & Data Analysis 64 (2013) C, pp. 237-252
Nonlinear mixed-effects (NLME) models are popular in many longitudinal studies, including those on human immunodeficiency virus (HIV) viral dynamics, pharmacokinetic analysis, and studies of growth and decay analysis. Generally, the normality of the random effects is a common assumption in NLME...