[ABE-L] Seminários do PPGM-UFAM -- Vinícius Calsavara - Hospital A. C. Camargo

[Celso Rômulo]

O Programa de Pós-Graduação em Matemática da Universidade Federal do
Amazonas - Área de Concentração em Estatística - convida a todos para
assistirem a palestra do Dr.
Vinícius Calsavara (Hospital A. C. Camargo). Seguem as informações do
evento.

Palestrante:  Vinícius Calsavara - Hospital A. C. Camargo

Data: 13/08/2020 (quinta-feira)
Horário: 10:00h (horário de Brasília)
Videoconferencia: meet.google.com/stz-mqcz-ghf

Título do Seminário: "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. In practice, 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 in the long
term. 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.
It allows for non-proportional hazards, as well as survival data with
long-term survivors. Parameter estimation was performed using the maximum
likelihood method, and Monte Carlo simulation was conducted to evaluate the
performance of the models. 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.

Celso Rômulo B. Cabral
Departamento de Estatística
Universidade Federal do Amazonas
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