Corpus ID: 237940970

Canonical fundamental skew-t linear mixed models

@inproceedings{Schumacher2021CanonicalFS,
  title={Canonical fundamental skew-t linear mixed models},
  author={Fernanda Lang Schumacher and Larissa A. Matos and Celso R{\^o}mulo Barbosa Cabral},
  year={2021}
}
In clinical trials, studies often present longitudinal data or clustered data. These studies are commonly analyzed using linear mixed models (LMMs), usually considering Gaussian assumptions for random effect and error terms. Recently, several proposals extended the restrictive assumptions from traditional LMM by more flexible ones that can accommodate skewness and heavy-tails and consequently are more robust to outliers. This work proposes a canonical fundamental skew-t linear mixed model (ST… Expand

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