Estimating individualized treatment rules for ordinal treatments-Reference-Cited by-同舟云学术

Estimating individualized treatment rules for ordinal treatments

Published:2018-03-13 Issue:3 Volume:74 Page:924-933
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Chen Jingxiang¹,Fu Haoda²,He Xuanyao²,Kosorok Michael R.¹³,Liu Yufeng¹³⁴^ORCID

Affiliation:

1. Department of Biostatistics; University of North Carolina at Chapel Hill; Chapel Hill North Carolina U.S.A.

2. Eli Lilly and Company; Indianapolis Indiana U.S.A.

3. Department of Statistics and Operations Research; University of North Carolina at Chapel Hill; Chapel Hill North Carolina U.S.A.

4. Department of Genetics; Carolina Center for Genome Sciences; Lineberger Comprehensive Cancer Center; University of North Carolina at Chapel Hill; North Carolina U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12865/fullpdf

Reference22 articles.

1. Learning to classify ordinal data: The data replication Method;Cardoso;Journal of Machine Learning Research,2007

2. Personalized dose finding using outcome weighted learning (with discussions and rejoinder);Chen;Journal of the American Statistical Association,2016

3. Support-vector networks;Cortes;Machine Learning,1995

4. 2015 https://www.cprd.com/home/

5. Breast cancer in the personal genomics era;Ellsworth;Current Genomics,2010

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