• Corpus ID: 214774697

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints

@article{Liu2021IntegrativeHD,
  title={Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints},
  author={Molei Liu and Yin Xia and Kelly Cho and Tianxi Cai},
  journal={J. Mach. Learn. Res.},
  year={2021},
  volume={22},
  pages={126:1-126:26}
}
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 improve power is through meta-analyzing multiple studies on the same scientific question. However, integrative analysis of high dimensional data from multiple studies is challenging in the presence of between study heterogeneity. The challenge is… 

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