منابع مشابه
Large-scale parametric survival analysis.
Survival analysis has been a topic of active statistical research in the past few decades with applications spread across several areas. Traditional applications usually consider data with only a small numbers of predictors with a few hundreds or thousands of observations. Recent advances in data acquisition techniques and computation power have led to considerable interest in analyzing very-hi...
متن کاملSurvival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
متن کاملSurvival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
متن کاملParametric sensitivity for large - scale aeroacoustic flows
Even though the use of adjoints in flow optimization and control design is becoming more commonplace, their application to parameter studies is far less established. In this study, we introduce a framework for the computation of gradients of user-defined output variables with respect to governing parameters. By identifying appropriate terms of the governing equations and using them as weight op...
متن کاملUnivariate Parametric Survival Analysis using GS-distributions
The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family as a general model in survival analysis. We show that the survival function based on the GS-distribution is able to provide a model for univariate survival data and that appropriate estimates can b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2013
ISSN: 0277-6715
DOI: 10.1002/sim.5817