Controlled variable selection in Weibull mixture cure models for high‐dimensional data
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DOI: 10.1002/sim.9513
Abstract: Medical breakthroughs in recent years have led to cures for many diseases. The mixture cure model (MCM) is a type of survival model that is often used when a cured fraction exists. Many have sought… read more here.
Keywords: mixture cure; cure; high dimensional; variable selection ... See more keywords
Approximate Bayesian inference for mixture cure models
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DOI: 10.1007/s11749-019-00679-x
Abstract: Cure models in survival analysis deal with populations in which a part of the individuals cannot experience the event of interest. Mixture cure models consider the target population as a mixture of susceptible and non-susceptible… read more here.
Keywords: bayesian inference; mixture cure; cure; mixture ... See more keywords
Sample size calculation for mixture cure model with restricted mean survival time as a primary endpoint
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DOI: 10.1177/09622802241265501
Abstract: It is not uncommon for a substantial proportion of patients to be cured (or survive long-term) in clinical trials with time-to-event endpoints, such as the endometrial cancer trial. When designing a clinical trial, a mixture… read more here.
Keywords: cure; time; survival time; cure model ... See more keywords
A Bayesian Mixture Cure Rate Model for Estimating Short-Term and Long-Term Recidivism
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DOI: 10.3390/e25010056
Abstract: Mixture cure rate models have been developed to analyze failure time data where a proportion never fails. For such data, standard survival models are usually not appropriate because they do not account for the possibility… read more here.
Keywords: cure rate; term; mixture cure;
Identification of Risk Factors for Relapse in Childhood Leukemia Using Penalized Semi-parametric Mixture Cure Competing Risks Model
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DOI: 10.34172/jrhs.2024.150
Abstract: Background: Leukemia is the most common childhood malignancy. Identifying prognostic factors of patient survival and relapse using more reliable statistical models instead of traditional variable selection methods such as stepwise regression is of great importance.… read more here.
Keywords: childhood; penalized semi; leukemia; semi parametric ... See more keywords
Analysis of Birth Growth: Using a Mixture Cure Frailty Model
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DOI: 10.47176/mjiri.38.142
Abstract: Background The birth rate is important in population growth. Concerns are growing over declining birth rates in Iran, as a developing country in the past decade. The present study aimed to examine population growth in… read more here.
Keywords: birth; cure; rate; frailty model ... See more keywords