[ABE-L] Ciclo de Palestras online do DEST-IME-UFBA com Julio Singer

Bruno Santos brunodosantos em gmail.com
Qua Nov 22 09:14:11 -03 2017


*Ciclo de Palestras online do Departamento de Estatística da UFBA*



*Palestrante*: Julio Singer, Departamento de Estatística, IME-USP

*CV: **http://lattes.cnpq.br/1069731541677061
<http://lattes.cnpq.br/1069731541677061>*


* <http://lattes.cnpq.br/1069731541677061>*


* <http://lattes.cnpq.br/1069731541677061>*
*Título*: Fitting mixed models to messy longitudinal data: a case study
involving estimation of post mortem intervals


*Resumo*:
Non-linear mixed models are useful in many practical longitudinal data
problems, especially when they are derived as solutions to differential
equations generated
by subject matter theoretical considerations. When this underlying
rationale is not available, practitioners are faced with the dilemma of
choosing a model from the
numerous ones available in the literature. The situation is even worse for
messy data where interpretation and computational problems are frequent.
This is the case with a pilot observational study conducted at the School
of Medicine of the University of São Paulo in which a new method to
estimate the time since death (post-mortem interval - PMI) is proposed. In
particular, the attenuation of the density of intra-cardiac hypostasis
(concentration of red cells in the vascular system by gravity) obtained
from a series of tomographic images was observed in the thoraces of 21
bodies of hospitalized patients with known time of death. The images were
obtained at different instants and not always at the same conditions for
each body, generating a set of messy data. In this context, we consider
three* ad hoc* models to analyse the data, commenting on the advantages and
caveats of each approach.


*Data: 24/11/2017                                                        *

*Hora: 11hs (Horário de Brasília)*

*Local: Sala 12 do IME*



*O link para acompanhar a palestra é*

*https://www.youtube.com/channel/UCC96Rmc3qKEYkKk187IcLdA/live
<https://www.youtube.com/channel/UCC96Rmc3qKEYkKk187IcLdA/live>*

E todos que estiverem acompanhando de forma online poderão enviar dúvidas
pelo chat da transmissão, pois as perguntas serão repassadas para o Prof.
Julio Singer.




Essa atividade tem coordenação de Lizandra C. Fabio (lizandra.fabio em ufba.br)
e Bruno Santos (brunorsantos em ufba.br), caso queiram enviar comentários ou
sugestões sobre as palestras.
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