[ABE-L] Seminários PIPGEs UFSCar/USP

[Michel H. Montoril]

Caros,

Gostaríamos de convidar a todos para o próximo seminário conjunto
UFSCar/ICMC-USP, que ocorrerá no dia *02/09*, *às 14h*. Seguem informações
abaixo.

Sintam-se à vontade para divulgar (arquivo em anexo) entre eventuais
interessados.

Saudações,
Michel

*Scheduled for:*
Sep 02, 2022, at 2:00 pm
(GMT-03:00) Brasilia Standard Time - Sao Paulo

*Video call link HERE <https://meet.google.com/vwm-jydy-wvv>.*

*Speaker:*
Widemberg S. Nobre (Universidade Federal do Paraná)

*Title:*
Modeling the death rate among hospitalizations with primary diagnosis of
respiratory disease during the first wave of the Coronavirus pandemic: A
causal mediation approach

*Abstract:*
We propose a causal mediation analysis to address time-varying observations
that are affected by a population-level intervention. The goal is to
quantify the causal impact of an intervention when multiple observations
are available before and after the intervention. The proposed approach
models the mediator and outcome variables separately while accounting for
the temporal nature of the data. Control variables affected by the
intervention are accounted for, and the composition of a time-varying
global (total) causal impact is described in terms of a mediator variable.
We illustrate the proposed method using a dataset from the state of Rio de
Janeiro, Brazil, comprising hospitalization data for patients with primary
diagnosis of a respiratory disease during the January 2015 - October 2020
period.  This period includes the first wave of the Coronavirus pandemic in
the state of Rio de Janeiro, the onset of which is taken to be the
intervention of interest. The outcome of interest is the death rate for
hospitalizations with primary diagnosis of a respiratory disease. During
the first peak of the Coronavirus pandemic, estimates of indirect effects
suggest a stronger impact of age in the rate of death for a pandemic
setting than in a non-pandemic one. Joint work with Hélio Migon e Alexandra
Schmidt.

*Bio:*
Widemberg S. Nobre has PhD degree in Statistics from Universidade Federal
do Rio de Janeiro (UFRJ), under supervision of Alexandra Schmidt. His
research areas include Bayesian Analysis, Spatial statistics, Dynamic
models and Causal Inference. Currently, Widemberg is Assistant Professor at
the Department of Statistics in the Universidade Federal do Paraná.
===============================
/* Michel H. Montoril,
 * Assistant Professor,
 * Department of Statistics,
 * Federal University of São Carlos,
 * São Carlos, SP, 13565-905, Brazil
 */
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