Model selection in competing risks regression. Stat Med . 2013;32(18):3077–88.Kuk D, Varadhan R. Model selection in competing risks regression. Stat Med. 2013;32:3077-3088.Kuk D, Varadhan R: Model selection in competing risks regression. Stat Med 2013, 32:3077-3088....
Model selection in competing risks regression In the analysis of time-to-event data, the problem of competing risks occurs when an individual may experience one, and only one, of m different types of e... D Kuk,R Varadhan - 《Statistics in Medicine》 被引量: 68发表: 2013年 Additive Haza...
At the competing risks regression analysis, the risk for BT in wt and homozygous V617F patients increased with respect to Cox analysis, giving a sHR of 2.17 and 2.12, respectively. Correcting the results for the variables that could... G Barosi,Valentina Poletto,Margherita Massa,... - 《Bl...
This assumption, however, is violated in several applications. To address this issue and test the effect of covariates on multiple risks, we develop a new regression model allowing for nonconstant hazard ratios over time. The proposed model allows explicit specification of the short-term and long...
A parametric mixture model provides a regression framework for analysing failure-time data that are subject to censoring and multiple modes of failure. The... MG Larson,GE Dinse - 《Journal of the Royal Statistical Society》 被引量: 284发表: 1985年 Simulating competing risks data in survival an...
Regression analysis of competing risks data via semi-parametric additive hazard modelcompeting risksadditive hazard modelcox modelcumulative incidence functionWhen the subjects in a study possess different demographic and disease characteristics and are exposed to more than one types of failure, a practical...
Summary We suggest an estimator for the proportional odds cumulative incidence model for competing risks data. The key advantage of this model is that the regression parameters have the simple and useful odds ratio interpretation. The model has been considered by many authors, but it is rarely use...
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Testing for equality of competing risks based on their cumulative incidence functions (CIFs) or their cause specific hazard rates (CSHRs) has been considered by many authors. The finite sample distributions of the existing test statistics are in general complicated and the use of their asymptotic ...
, 90 } . This is executed by performing a logistic regression on the n = 11 observations x y : m c ( x o , t ) = f ∑ k = 1 n w ( x o , k ) · f − 1 m c ( x k y , t ) , (27) where f ( · ) and f − 1 ( · ) are defined as f ( α )...