Cross-validated bagged prediction of survival.
نویسندگان
چکیده
In this article, we show how to apply our previously proposed Deletion/Substitution/Addition algorithm in the context of right-censoring for the prediction of survival. Furthermore, we introduce how to incorporate bagging into the algorithm to obtain a cross-validated bagged estimator. The method is used for predicting the survival time of patients with diffuse large B-cell lymphoma based on gene expression variables.
منابع مشابه
Cross-Validated Bagged Learning.
Many applications aim to learn a high dimensional parameter of a data generating distribution based on a sample of independent and identically distributed observations. For example, the goal might be to estimate the conditional mean of an outcome given a list of input variables. In this prediction context, bootstrap aggregating (bagging) has been introduced as a method to reduce the variance of...
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عنوان ژورنال:
- Statistical applications in genetics and molecular biology
دوره 5 شماره
صفحات -
تاریخ انتشار 2006