منابع مشابه
Semi-Competing Risks Data Analysis
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 کاملSemi-parametric inferences for association with semi-competing risks data.
In many biomedical studies, it is of interest to assess dependence between bivariate failure time data. We focus here on a special type of such data, referred to as semi-competing risks data. In this article, we develop methods for making inferences regarding dependence of semi-competing risks data across strata of a discrete covariate Z. A class of rank statistics for testing constancy of asso...
متن کاملTwo Sample Comparison based on Semi-Competing Risks Data
Semi-competing risks data are commonly seen in biomedical applications. In this article, we consider the problem of two-sample comparison based on a non-terminal event, say disease progression, which is subject to censoring by a terminal event such as death. Existence of possible dependent censoring complicates the analysis. The proposed methodology is developed under two types of assumptions. ...
متن کاملNonparametric estimation with left truncated semi-competing risks data
SUMMARY Cause-specific hazard and cumulative incidence function are of practical importance in competing risks studies. Inferential procedures for these quantities are well developed and can be applied to semi-competing risks data, where a terminating event censors a non-terminating event, after coercing the data into the competing risks format. Complications arise when there is left truncation...
متن کاملQuantile Regression Based on Semi-Competing Risks Data
This paper considers quantile regression analysis based on semi-competing risks data in which a non-terminal event may be dependently censored by a terminal event. The major interest is the covariate effects on the quantile of the non-terminal event time. Dependent censoring is handled by assuming that the joint distribution of the two event times follows a parametric copula model with unspecif...
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ژورنال
عنوان ژورنال: Circulation: Cardiovascular Quality and Outcomes
سال: 2016
ISSN: 1941-7713,1941-7705
DOI: 10.1161/circoutcomes.115.001841