7 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
Canonical fundamental skew-t linear mixed models
Fernanda L. Schumacher, Larissa A. Matos, Celso R. B. Cabral
In clinical trials, studies often present longitudinal data or clustered data. These studies are commonly analyzed using linear mixed models (LMMs), usually considering Gaussian as…
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
Francisco H. C. de Alencar, Christian E. Galarza, Larissa A. Matos +1
Finite mixture models have been widely used to model and analyze data from a heterogeneous populations. Moreover, data of this kind can be missing or subject to some upper and/or l…
Scale mixture of skew-normal linear mixed models with within-subject serial dependence
Fernanda L. Schumacher, Victor H. Lachos, Larissa A. Matos
In longitudinal studies, repeated measures are collected over time and hence they tend to be serially correlated. In this paper we consider an extension of skew-normal/independent…