Counting process-based dimension reduction methods for censored outcomes-Reference-Cited by-同舟云学术

Counting process-based dimension reduction methods for censored outcomes

Published:2019-01-07 Issue:1 Volume:106 Page:181-196
ISSN:0006-3444
Container-title:Biometrika
language:en
Short-container-title:

Author:

Sun Qiang¹,Zhu Ruoqing²,Wang Tao³,Zeng Donglin⁴

Affiliation:

1. Department of Statistical Sciences, University of Toronto, 100 St George Street, Toronto, Ontario, Canada

2. Department of Statistics, University of Illinois at Urbana-Champaign, 725 South Wright Street, Champaign, Illinois, USA

3. Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai, China

4. Department of Biostatistics, University of North Carolina at Chapel Hill, 3101 McGavran-Greenberg Hall, Chapel Hill, North Carolina, USA

Funder

National Natural Science Foundation of China

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Link

http://academic.oup.com/biomet/article-pdf/106/1/181/27774653/asy064.pdf

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3. Discussion of sliced inverse regression for dimension reduction;Cook;J. Am. Statist. Assoc.,1991

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