Fused sliced inverse regression in survival analysis
نویسندگان
چکیده
منابع مشابه
Sliced Inverse Regression for Survival Data
We apply the univariate sliced inverse regression (SIR) to survival data. Our approach is different from the other papers on this subject. The right-censored observations are taken into account during the slicing of the survival times by assigning each of them with equal weight to all of the slices with longer survival. We test this method with different distributions for the two main survival ...
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Sliced Inverse Regression is a method for reducing the dimension of the explanatory variables x in non-parametric regression problems. Li (1991) discussed a version of this method which begins with a partition of the range of y into slices so that the conditional covariance matrix of x given y can be estimated by the sample covariance matrix within each slice. After that the mean of the conditi...
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Sliced Inverse Regression (SIR) is an effective method for dimension reduction in high-dimensional regression problems. The original method, however, requires the inversion of the predictors covariance matrix. In case of collinearity between these predictors or small sample sizes compared to the dimension, the inversion is not possible and a regularization technique has to be used. Our approach...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2017
ISSN: 2383-4757
DOI: 10.5351/csam.2017.24.5.533