Multivariate nonlinear mixed-effects models (MNLMMs) have become a promising tool for
analyzing multi-outcome longitudinal data following nonlinear trajectory patterns. However …

In longitudinal studies involving laboratory-based outcomes, repeated measurements can
be censored due to assay detection limits. Linear mixed-effects (LMEs) models are a …

In this paper, the authors study the problem of testing the hypothesis of a block compound
symmetry covariance matrix with two-level multivariate observations, taken for m variables …

The use of mixed‐effect models to understand the evolution of the human immunodeficiency
virus (HIV) and the progression of acquired immune deficiency syndrome (AIDS) has been …

In biomedical studies and clinical trials, repeated measures are often subject to some upper
and/or lower limits of detection. Hence, the responses are either left or right censored. A …

Multivariate longitudinal data usually exhibit complex features such as the presence of
censored responses due to detection limits of the assay and unavoidable missing values …

Linear mixed-effects models are commonly used when multiple correlated measurements
are made for each unit of interest. Some inherent features of these data can make the …

In biomedical studies, the analysis of longitudinal data based on Gaussian assumptions is
common practice. Nevertheless, more often than not, the observed responses are naturally …

This paper proposes an algorithm to generate random numbers from any member of the
truncated multivariate elliptical family of distributions with a strictly decreasing density …

Longitudinal HIV-1 RNA viral load measures are often subject to censoring due to upper and
lower detection limits depending on the quantification assays. A complication arises when …