1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
A robust nonlinear mixed-effects model for COVID-19 deaths data
Fernanda L. Schumacher, Clecio S. Ferreira, Marcos O. Prates +2
The analysis of complex longitudinal data such as COVID-19 deaths is challenging due to several inherent features: (i) Similarly-shaped profiles with different decay patterns; (ii)…
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…