Banca de QUALIFICAÇÃO: JOYCE BEZERRA ROCHA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : JOYCE BEZERRA ROCHA
DATA : 15/12/2017
HORA: 10:00
LOCAL: Sala de seminários do DEST
TÍTULO:

Análise de Sobrevivência, fração de cura, modelos log-simétricos.

PALAVRAS-CHAVES:

Análise de Sobrevivência, fração de cura, modelos log-simétricos.

PÁGINAS: 56
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Probabilidade e Estatística
RESUMO:

Long-term models are of great interest in statistical modeling that involves time-to-event data in which a fraction of the population is immune to this event. For these models, also known as cure fraction models, there are in the literature several proposals considering parametric aproach. We propose and study properties of the long-term model considering that the distributions of lifetimes of the susceptible individuals belongs to the log-symmetric class of distributions. This class is characterized by continuous, strictly positive and asymmetric distributions including distributions such as log-t-Student, log-logistic I, log-logistic II, log-normal-contaminated, log-exponential-power and log-slash, among others. The log-symmetric class is quite flexible to include bimodal distributions and behave outliers. In this model, here called the log-symmetric regression model with cure rate, the explanatory variables are included through the parameter associated with the cure fraction. We evaluate the performance of the proposed model through extensive simulation studies. We intend to consider as application the fit of this model to a real dataset in a study to identify factors influencing the immunity to leprosy reactions in patients with leprosy.

MEMBROS DA BANCA:
Presidente - 734492 - DIONE MARIA VALENCA
Interno - 2612836 - FRANCISCO MOISES CANDIDO DE MEDEIROS
Interno - 1023112 - MARCELO BOURGUIGNON PEREIRA
Interno - 2312009 - MARIANA CORREIA DE ARAUJO