Estimating individualized treatment rules for treatments with hierarchical structure-Reference-Cited by-同舟云学术

Estimating individualized treatment rules for treatments with hierarchical structure

Published:2022-01-01 Issue:1 Volume:16 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Fan Yiwei¹,Lu Xiaoling¹,Zhao Junlong²,Fu Haoda³,Liu Yufeng⁴

Affiliation:

1. Center for Applied Statistics, School of Statistics, Renmin University of China, China

2. School of Statistics, Beijing Normal University, China

3. Advanced Analytics and Data Sciences, Eli Lilly and Company, U.S.A

4. Department of Statistics and Operations Research, Department of Genetics, Department of Biostatistics, Carolina Center for Genome Sciences, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, U.S.A

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability,Statistics, Probability and Uncertainty

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3. Cai, L. and Hofmann, T. (2004). Hierarchical document categorization with support vector machines. In Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management (CIKM2004) 78–87. ACM Press.

4. Cesa-Bianchi, N., Gentile, C. and Zaniboni, L. (2006). Hierarchical classification: combining Bayes with SVM. In Proceedings of the 23rd international conference on Machine learning (ICML2006) 177–184. ACM Press.

5. Chen, J., Fu, H., He, X., Kosorok, M. R. and Liu, Y. (2018). Estimating individualized treatment rules for ordinal treatments. Biometrics 74 924–933.

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