Combined performance of screening and variable selection methods in ultra-high dimensional data in predicting time-to-event outcomes

被引：6

作者：

Lira Pi

Susan Halabi

机构：

[1] Duke University Medical Center,Department of Biostatistics and Bioinformatics

来源：

Diagnostic and Prognostic Research | / 2卷 / 1期

关键词：

Variable selection; Calibration; Overfitting; Machine learning; Proportional hazards model; Prognostic models; Elastic net; Random forest; High dimensional data; Germline single-nucleotide polymorphism; Survival outcomes;

D O I：

10.1186/s41512-018-0043-4

中图分类号：

学科分类号：

摘要：

引用