[ABE-L] Fwd: Seminário conjunto UFSCar/USP - 21/08/2020 às 14h00

[PIPGEs UFSCar]

Prezados (as), muito bom dia!

Espero que estejam todos bem. Conforme solicitado pelo Prof. Sandro Gallo,
venho por meio deste convidá-los para a palestra da próxima sexta-feira
(21/08):

*Palestra UFSCar/USP*

*Data e Horário:*
21/08/2020 às 14h

*Local:*

Google Meet - Link da apresentação : meet.google.com/trg-mxmz-pug
<https://meet.google.com/trg-mxmz-pug?hs=122&authuser=2>

*Título:*

Sequential Monte Carlo methods in Bayesian joint models for longitudinal
and time-to-event data

*Palestrante:*

Danilo Alvares da Silva (U.C. de Chile)

*Resumo:*
The statistical analysis of the information generated by medical follow-up
is a very important challenge in the field of personalized medicine. As the
evolutionary course of a patient's disease progresses, his/her medical
follow-up generates more and more information that should be processed
immediately in order to review and update his/her prognosis and treatment.
Hence, we focus on this update process through sequential inference methods
for joint models of longitudinal and time-to-event data from a Bayesian
perspective. More specifically, we propose the use of sequential Monte
Carlo (SMC) methods for static parameter joint models with the intention of
reducing computational time in each update of the full Bayesian inferential
process. Our proposal is very general and can be easily applied to the most
popular joint models approaches. We illustrate the use of the presented
sequential methodology in a joint model with competing risk events for a
real scenario involving patients on mechanical ventilation in intensive
care units (ICUs).

Contamos com a presença de todos!

Lembramos também que todos os seminários e outras atividades previstas
encontram-se na página do PIPGEs http://www.pipges.ufscar.br/

Atenciosamente,
--
Julio Cezar de Barros
Assistente em Administração
PIPGEs-UFSCar
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