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Journal of the American Statistical Association Volume 116, 2021 - Issue 534
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Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery, Part II

Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules

Weibin Moa Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NCView further author information
,
Zhengling Qib Department of Decision Sciences, George Washington University, Washington, DCORCID Iconhttps://orcid.org/0000-0003-0270-7969View further author information
ORCID Icon &
Yufeng Liuc Department of Statistics and Operations Research, Department of Genetics, Department of Biostatistics, Carolina Center for Genome Science, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, NCCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1686-0545View further author information
ORCID Icon
Pages 699-707 | Received 05 Dec 2020, Accepted 12 Dec 2020, Published online: 01 Apr 2021
 
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Acknowledgments

The authors would like to thank the editor and the associate editor for organizing this insightful discussion.

Additional information

Funding

This research was partially supported by NSF grant DMS1821231 and NIH grants R01GM126550, P01CA142538.
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Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery

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