A Decision‐Theory Approach to Interpretable Set Analysis for High‐Dimensional Data-Reference-Cited by-同舟云学术

A Decision‐Theory Approach to Interpretable Set Analysis for High‐Dimensional Data

Published:2013-08-02 Issue:3 Volume:69 Page:614-623
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Boca Simina M.¹,Bravo Héctor Corrada²,Caffo Brian³,Leek Jeffrey T.³,Parmigiani Giovanni⁴

Affiliation:

1. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda, Maryland 20892 U.S.A.

2. University of Maryland College Park, Maryland 20742 U.S.A.

3. Johns Hopkins Bloomberg School of Public Health Baltimore, Maryland 21205 U.S.A.

4. Dana Farber Cancer Institute and Harvard School of Public Health Boston, Massachusetts 02115 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

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.12060

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5. Simultaneous Testing of Grouped Hypotheses: Finding Needles in Multiple Haystacks

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