A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample-Reference-Cited by-同舟云学术

A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample

Published:2020-08-04 Issue:3 Volume:77 Page:996-1010
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Fang Fang¹,Zhao Jiwei²^ORCID,Ahmed S. Ejaz³,Qu Annie⁴^ORCID

Affiliation:

1. Key Laboratory of Advanced Theory and Application in Statistics and Data Science ‐ MOE School of Statistics East China Normal University Shanghai China

2. Department of Biostatistics and Medical Informatics University of Wisconsin Madison Wisconsin

3. Faculty of Mathematics and Science Brock University St. Catharines Ontario Canada

4. Department of Statistics University of California Irvine California

Funder

Natural Sciences and Engineering Research Council of Canada

National Center for Advancing Translational Sciences

National Natural Science Foundation of China

National Science Foundation

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.13346

Reference36 articles.

1. Missing Data on the Estimation of the Prevalence of Accumulated Human Immunodeficiency Virus Drug Resistance in Patients Treated With Antiretroviral Drugs in North America

2. Immunogenicity, Immunologic Memory, and Safety Following Measles Revaccination in HIV-Infected Children Receiving Highly Active Antiretroviral Therapy

3. One-Step Huber Estimates in the Linear Model

4. A Direct Estimation Approach to Sparse Linear Discriminant Analysis

5. The Dantzig selector: Statistical estimation when p is much larger than n

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