ArticleJournal of the American Statistical Association2017
Promoting Similarity of Sparsity Structures in Integrative Analysis with Penalization.
Article in Journal of the American Statistical Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- High-dimensional Subgroup Regression Analysis.Statistica Sinica · 2025Article
- Integrative rank-based regression for multi-source high-dimensional data with multi-type responses.Journal of applied statistics · 2025Article
- Regression Trees With Fused Leaves.Statistics in medicine · 2024Article
- Estimation of multiple networks with common structures in heterogeneous subgroups.Journal of multivariate analysis · 2024Article
- Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis.Journal of machine learning research : JMLR · 2024Article
- Joint and Individual Component Regression.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Binned multinomial logistic regression for integrative cell-type annotation.The annals of applied statistics · 2023Article
- Prior information-assisted integrative analysis of multiple datasets.Bioinformatics (Oxford, England) · 2023Article
- Integrative Learning of Structured High-Dimensional Data from Multiple Datasets.Statistical analysis and data mining · 2023Article
- A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources.Proceedings of machine learning research · 2022Article
- Modeling Pregnancy Outcomes through Sequentially Nested Regression Models.Journal of the American Statistical Association · 2022Article
- Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion.Statistics in medicine · 2021Article
- Vertical integration methods for gene expression data analysis.Briefings in bioinformatics · 2021Review
- An integrative sparse boosting analysis of cancer genomic commonality and difference.Statistical methods in medical research · 2020Article
- A New Semiparametric Approach to Finite Mixture of Regressions using Penalized Regression via Fusion.Statistica Sinica · 2020Article
- Structured Analysis of the High-dimensional FMR Model.Computational statistics & data analysis · 2020Article
- Structured gene-environment interaction analysis.Biometrics · 2020Article
- GRIA: Graphical Regularization for Integrative Analysis.Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining · 2020Article
- Penalized integrative semiparametric interaction analysis for multiple genetic datasets.Statistics in medicine · 2019Article
- Identification of cancer omics commonality and difference via community fusion.Statistics in medicine · 2019Article
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5 authors.
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Abstract
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 sparsity structures. However, the existing methods do not have a mechanism to promote the similarity in sparsity structures in integrative analysis. In this study, we consider penalized variable selection and estimation in integrative analysis. We develop an
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