[ABE-L] Ciclo de Palestras PPG Estatística UFRJ (Vera Tomazella - 23/06 às 15:30)

[Kelly Cristina]

Prezados,

dando continuidade ao Ciclo de Palestras do Programa de Pós-Graduação
em Estatística do IM-UFRJ, *na próxima 4a feira, 23/06/21, às 15:30*,
teremos a palestra da professora:

*Vera Lucia Damasceno Tomazella (UFSCar)*

*Título: *Long-term frailty modeling using a non-proportional hazards
model: Application with a melanoma dataset

*Resumo: *The semiparametric Cox regression model is often fitted in the
modeling of survival data. One of its main advantages is the ease of
interpretation, as long as the hazards rates for two individuals do not
vary over time. However, the proportionality assumption of the hazards may
not be true in some situations. In addition, in several survival data is
common a proportion of units not susceptible to the event of interest, even
if, accompanied by a sufficiently large time, which is so-called immune,
“cured,” or not susceptible to the event of interest. In this context,
several cure rate models are available to deal with the long-term. Here, we
consider the generalized time-dependent logistic (GTDL) model with a power
variance function (PVF) frailty term introduced in the hazard function to
control for unobservable heterogeneity in patient populations. Our approach
enables us to accommodate unobservable heterogeneity and non-proportional
hazards, as well as survival data with long-term survivors. Its practice
relevance is illustrated in a real medical dataset from a population-based
study of incident cases of melanoma diagnosed in the state of São Paulo,
Brazil.

A palestra ocorrerá remotamente, via Google Meets. A sala será aberta
sempre 10 minutos antes do início de cada sessão. O link estará disponível
na página http://www.dme.ufrj.br/?page_id=3037 .

Contamos com a presença de vocês.
Para ver palestras anteriores, se inscreva no nosso canal Ciclo de
Palestras Estatística
UFRJ  <https://www.youtube.com/channel/UCoLTqHW20Ne1qFYL2xYJOcg/featured>!

Atenciosamente,
-- 
*Kelly C. M. Gonçalves*
*Professora Adjunta IV*
*Departamento de Métodos Estatísticos*
*Universidade Federal do Rio de Janeiro*
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