ロード中...
Forward regression for Cox models with high-dimensional covariates
Forward regression, a classical variable screening method, has been widely used for model building when the number of covariates is relatively low. However, forward regression is seldom used in high-dimensional settings because of the cumbersome computation and unknown theoretical properties. Some r...
保存先:
| 出版年: | J Multivar Anal |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6469712/ https://ncbi.nlm.nih.gov/pubmed/31007300 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2019.02.011 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|