Yüklüyor......
Sparse Boosting for High-Dimensional Survival Data with Varying Coefficients
Motivated by high-throughput profiling studies in biomedical research, variable selection methods have been a focus for biostatisticians. In this paper we consider semiparametric varying-coefficient accelerated failure time models for right censored survival data with high-dimensional covariates. In...
Kaydedildi:
| Yayımlandı: | Stat Med |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5799045/ https://ncbi.nlm.nih.gov/pubmed/29152776 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7544 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|