[ABE-L] Seminários PIPGEs UFSCar/USP

[Michel H. Montoril]

Caros,

Apenas reforçando que nesta sexta, *dia 02/09, às 14h*, teremos seminário
conjunto UFSCar/ICMC-USP. Mais informações abaixo.

Saudações,
Michel

===============================
/* Michel H. Montoril,
 * Assistant Professor,
 * Department of Statistics,
 * Federal University of São Carlos,
 * São Carlos, SP, 13565-905, Brazil
 */


On Tue, Aug 30, 2022 at 8:28 PM Michel H. Montoril <michelcias em gmail.com>
wrote:

> 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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