Cure Fraction Models Using Mixture and Non-mixture Models
نویسندگان
چکیده
We introduce the Weibull distributions in presence of cure fraction, censored data and covariates. Twomodels are explored in this paper: mixture and non-mixture models. Inferences for the proposed models are obtained under the Bayesian approach, using standard MCMC (Markov Chain Monte Carlo) methods. An illustration of the proposed methodology is given considering a lifetime data set.
منابع مشابه
Evaluation of prognostic factors affecting long and short term survival rates of Hodgkin's lymphoma patients using the cure fraction models
Background and Aim: This study aimed to analyze the factors affecting time and experience of relapse in the patients with Hodgkin's lymphoma, using cure fraction. Material and Methods: This retrospective study included all the patients diagnosed as Hodgkin's lymphoma in the Center for oncology and hematology in Shafa Hospital in Ahwaz City from 2002 to 2012. We used survival analysis and cure f...
متن کاملDetermining the correlated factors of breast cancer recurrence by Poisson Beta-Weibull non- mixture cure model
Introduction: Therapies for many of diseases, especially cancer, have been improved significantly in the recent years, resulting in an increase in the number of patients who do not experience mortality. Therefore, the application of cure models is more suitable for survival analysis in this population than the usual survival models are. The aim of this study was to estimate the recurrence-free ...
متن کاملA SAS macro for parametric and semiparametric mixture cure models
Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not account for the possibility of cure. Mixture cure models assume that the studied population is a mixture of susceptible individuals, who may experience the event of interest, and non-susceptible individuals that will never ex...
متن کاملتحلیل بقای بیماران مبتلا به سرطان پستان با استفاده از مدلهای شفایافته نا آمیخته وایبل و بتا وایبل پواسون
Background and Aim: Therapies for many of diseases especially cancers have been improved significantly in the recent year, so there have been an increased number of patients who do not experience mortality. In analysis of these disease, cured models is used instead of usual survival models. Weibull model and its generalized version beta Weibull Poisson (BWP), are flexible models in cure models ...
متن کاملکاربرد مدلهای شفایافته در تحلیل بقای بیماری تالاسمی ماژور
Background: Identification of the factors influencing short term and long term survival for patients is one of the important concerns in medical society. With determining the risk factors and also health factors of a disease, valuable information can be obtained. In some cases, such as high rate of censoring, the use of standard survival models for analysis may cause to loss in some of...
متن کامل