On cross-odds ratio for multivariate competing risks data
نویسندگان
چکیده
منابع مشابه
Nonparametric association analysis of multivariate competing risks data
While nonparametric analyses of bivariate failure times under independent censoring have been widely studied, nonparametric analyses of bivariate competing risks data have not been investigated. Such analyses are important in familial association studies, where multiple interacting failure types may violate the independent censoring assumption. We develop nonparametric estimators for the bivari...
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A population average regression model is proposed to assess the marginal effects of covariates on the cumulative incidence function when there is dependence across individuals within a cluster in the competing risks setting. This method extends the Fine-Gray proportional hazards model for the subdistribution to situations, where individuals within a cluster may be correlated due to unobserved s...
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Hospital readmission is a key marker of quality of healthcare; it has been used to investigate variation in quality among patients in a broad range of clinical contexts and has become an important policy measure. Notwithstanding its widespread use, however, readmission remains controversial as a measure of quality. Among the concerns raised, whether and how patient deaths are handled in the ana...
متن کاملOn progressively censored competing risks data for Weibull distributions
In survival analysis, or in reliability study, an investigator is often interested in the assessment of a specific risk in the presence of other risk factors. It is well known as the competing risks problem in statistical literature. Moreover, censoring is inevitable in any life testing or reliability study. In this paper, we consider a very general censoring scheme, namely a progressive censor...
متن کاملAnalysis of short-term multivariate competing risks data following thoracic and thoracoabdominal aortic repair.
OBJECTIVE Estimating the overall successfulness of a treatment can be difficult when success is defined by freedom from multiple endpoints that are each subject to competing risks. We describe a method for modeling short-term competing outcomes. METHODS We used polytomous categorical variable modeling to describe the 30-day onset of renal failure, neurologic deficit, stroke or death (events) ...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2012
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxs017