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：
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