[ABE-L] Seminário PIPGEs com Larissa Avila Matos (UNICAMP): 12/6 (quinta) às 14hs no CINA-UFSCar

[Rafael Izbicki]

Caros,

Na *quinta-feira (excepcionalmente!)*, *12 de Junho às 14:00hs*,
teremos seminário do Programa Interinstitucional de Pós-Graduação em
Estatística (PIPGEs) da UFSCar-USP.

*Nome*: Larissa Avila Matos (UNICAMP)

*Título: *Modeling Longitudinal Data using Robust Mixed Models
*Resumo: *In clinical trials, studies often present longitudinal data. They
are commonly analyzed using linear mixed models (LMM), which, for
mathematical convenience, usually assume that both random effects and
errors follow normal distributions. These models are frequently used in
applications, and a brief review of the standard tools available in R to
estimate them will be presented. Nevertheless, real data frequently present
non-normal features, such as heavy tails and skewness. In these cases, the
normality assumptions may result in a lack of robustness against departures
from the normal distribution and invalid statistical inferences. Aiming to
facilitate the use of more complex models in applications, a flexible
extension of the normal LMM using the R package skewlmm will be presented.
This extension considers the scale mixture of the skew-normal class of
distributions, accommodating skewness and heavy tails, and accounts for a
possible within-subject serial dependence, considering some useful
dependence structures. The use of the package will be illustrated in real
longitudinal data, exploring tools for model selection and
evaluation.xperimentos.

*Local: *Sala 6 do CINA-UFSCar (São Carlos)
Todos são bem vindos!

          Rafael

[image: MINICURSO (1).jpg]

--
Rafael Izbicki
Assistant Professor | Vice Director of Graduate Studies
Department of Statistics
Federal University of São Carlos (UFSCar)
https://rafaelizbicki.com/
https://small-research.github.io/website
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