Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints

Identifying informative predictors in a high dimensional regression model is a critical step for association analysis and predictive modeling. Signal detection in the high dimensional setting often fails due to the limited sample size. One approach to improving power is through meta-analyzing multip...

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Detalles Bibliográficos
Autores principales: Liu, Molei, Xia, Yin, Cho, Kelly, Cai, Tianxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327421/
https://www.ncbi.nlm.nih.gov/pubmed/37426040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327421/
https://www.ncbi.nlm.nih.gov/pubmed/37426040

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