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A multivariate survival model induced by discrete frailty
(Taylor & Francis Inc, 2020-08-11)
Frailty models are generally used to model heterogeneity and dependence between individuals. The distribution of the frailty variable is often assumed to be continuous. However, there are situations where a discretely-distributed ...
Survival model induced by discrete frailty for modeling of lifetime data with long-term survivors and change-point
(Taylor & Francis Inc, 2019-07-30)
Frailty models are used for modeling heterogeneity in the data analysis of lifetimes. Analysis that ignore frailty when it is present leads to incorrect inferences. In survival analysis, the distribution of frailty is ...
Modelos de sobrevivência induzidos por fragilidade discreta série de potência zero-modificada
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-03-13)
Survival models with a frailty term are presented as an extension of Cox's proportional risk model (COX, 1972), in which a random effect, called frailty, is introduced in the risk function in a multiplicative way with the ...
Bayesian survival model induced by frailty for lifetime with long-term survivors
(Wiley-Blackwell, 2021-02-05)
It is introduced the proportional hazards frailty model to allow a discrete distribution for the frailty variable. Frailty zero can be interpreted as being immune or cured. It is defined a class of survival models induced ...
Modelos de sobrevivência induzidos por fragilidade discreta com fração de cura e riscos proporcionais
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-10-21)
This work presents two new survival models induced by discrete frailty with unobserved heterogeneity and proportional hazards structure, for lifetime data. The first model consider the discrete frailty variable with Katz ...
Modelos de sobrevivência bivariados induzidos por fragilidade
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-07-18)
Frailty models have been developed to quantify both heterogeneity as well as association in multivariate time-to-event data. The frailty distributions used in many studies include the gamma, inverse Gaussian (IG) or stable ...
Modelagem de dados de sobrevivência com eventos recorrentes via fragilidade discreta
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Estatística - PPGEsCâmpus São Carlos, 2015-09-02)
In this thesis it is proposed alternative methodologies and extensions on
models for recurrent event data. Speci cally, we propose a model in which
the distribution of the gap time is easily derived from the marginal ...
Decomposição da variância para o modelo de regressão destrutivo Waring de longa duração
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-04-17)
The goal of this work is to formulate a two-stage regression long-term model, whose destructive mechanism of the competitive risk factors is flexible for measuring the impact on the survival function or cure rate of ...
Modelos série de potência com excesso de zeros observáveis e latentes
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Estatística - PPGEsCâmpus São Carlos, 2016-09-28)
The present work's main objective is to study the significance of zeros in an observable
and latent data. In observable data set that occur excess of zeros, its common to have
sobredispersion. In this sense, the models ...
Um estudo dos modelos de sobrevivência de longa duração LIGcr e GEPGWcr
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-10-04)
In this work we study two long-term survival models denomined Logaritmic Inverse Gaussian cure rate (LIGcr) model and Geometric Exponentiated Power Generalized Weibull cure rate (GEPGWcr) model. Both models take into ...