نتایج جستجو برای: promotion time cure model
تعداد نتایج: 3670677 فیلتر نتایج به سال:
background & aim: in the survival data with long-term survivors the event has not occurred for all the patients despite long-term follow-up, so the survival time for a certain percent is censored at the end of the study. mixture cure model was introduced by boag, 1949 for reaching a more efficient analysis of this set of data. because of some disadvantages of this model non-mixtur...
Abstract Background: Although corneal graft may be rejected by the immune system of the recipient it remains as the most successful operation as compared to transplantation of other tissues. Since most patient do not reject the grafts, those who do are in the minority. This study was carried out to assess the usefulness of the cure frailty model for determining the significance of risk facto...
We consider the problem of estimating distribution time-to-event data that is subject to censoring and for which event interest might never occur, is, some subjects are cured. To model this kind in presence covariates, one leading semiparametric models promotion time cure (Stochastic Models Tumor Latency Their Biostatistical Applications (1996) World Scientific), adapts Cox cured subjects. Esti...
In many situations in survival analysis, it may happen that a fraction of individuals will never experience the event of interest: they are considered to be cured. The promotion time cure model takes this into account. We consider the case where one or more explanatory variables in the model are subject to measurement error, which should be taken into account to avoid biased estimators. A gener...
In this paper, we develop a flexible cure rate survival model by assuming the number of competing causes of the event of interest to follow a compound weighted Poisson distribution. This model is more flexible in terms of dispersion than the promotion time cure model. Moreover, it gives an interesting and realistic interpretation of the biological mechanism of the occurrence of event of interes...
A cure rate model under the competing risks setup is proposed. For number of causes related to occurrence event interest, we posit one-parameter Bell distribution, which accommodates overdispersed counts. The parameterized in rate, linked covariates. Parameter estimation based on maximum likelihood method. Estimates are computed via EM algorithm. In order compare different models, a selection c...
background & aim: esophageal cancer is one of the main common causes of death. the high prevalence of esophageal cancer in northern iran is an important public health problem. the main aim of this paper was to assess the factors affecting survival of atients with esophageal cancer in neighbor provinces around the caspian sea using weibull mixture cure model and mixture cure model based on a no...
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