Promoting Similarity of Sparsity Structures in Integrative Analysis With Penalization
通过惩罚促进整合分析中的稀疏结构相似性
For data with high-dimensional covariates but small sample sizes, the analysis of single datasets often generates unsatisfactory results. The integrative analysis of multiple independent datasets provides an effective way of pooling information and outperforms single-dataset and several alternative multi-datasets methods. Under many scenarios, multiple datasets are expected to share common important covariates, that is, the corresponding models have similarity in their…