ArticleStatistics in medicine2018
Sparse boosting for high-dimensional survival data with varying coefficients.
Article in Statistics in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- A Penalization Method for Estimating Heterogeneous Covariate Effects in Cancer Genomic Data.Genes · 2022Article
- An integrative sparse boosting analysis of cancer genomic commonality and difference.Statistical methods in medical research · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
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. Instead of adopting the traditional regularization approaches, we offer a novel sparse boosting (SparseL
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Registered trials
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