Semiparametric model for semi-competing risks data with application to breast cancer study
نویسندگان
چکیده
منابع مشابه
Semi-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 کاملSemi-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 کاملSemiparametric analysis of mixture regression models with competing risks data.
In the analysis of competing risks data, cumulative incidence function is a useful summary of the overall crude risk for a failure type of interest. Mixture regression modeling has served as a natural approach to performing covariate analysis based on this quantity. However, existing mixture regression methods with competing risks data either impose parametric assumptions on the conditional ris...
متن کاملHierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer.
Readmission following discharge from an initial hospitalization is a key marker of quality of health care in the United States. For the most part, readmission has been studied among patients with 'acute' health conditions, such as pneumonia and heart failure, with analyses based on a logistic-Normal generalized linear mixed model (Normand et al., 1997). Naïve application of this model to the st...
متن کاملAnalysis of a semiparametric mixture model for competing risks
Semiparametric mixture regression models have recently been proposed to model competing risks data in survival analysis. In particular, Ng and McLachlan (Stat Med 22:1097–1111, 2003) and Escarela and Bowater (Commun Stat Theory Methods 37:277–293, 2008) have investigated the computational issues associated with the nonparametric maximum likelihood estimation method in a multinomial logistic/pro...
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ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2015
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-015-9344-x