Test the reliability of doubly robust estimation with missing response data-Reference-Cited by-同舟云学术

Test the reliability of doubly robust estimation with missing response data

Published:2014-02-24 Issue:2 Volume:70 Page:289-298
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Chen Baojiang¹,Qin Jing²

Affiliation:

1. Department of Biostatistics, College of Public Health; University of Nebraska Medical Center; Omaha, Nebraska 68198 U.S.A.

2. National Institute of Allergy and Infectious Diseases; National Institute of Health; Bethesda, Maryland 20892 U.S.A.

Funder

National Institute on Aging

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.12150/fullpdf

Reference32 articles.

1. Surrogate endpoints: wishful thinking or reality? (Editorial);Baker;Journal of the National Cancer Institute,2006

2. Resolving paradoxes involving surrogate endpoints;Baker;Journal of the Royal Statistical Society, Series A,2005

3. Doubly robust estimation in missing data and causal inference models;Bang;Biometrics,2005

4. On the use of surrogate endpoints in randomized trials;Begg;Journal of the Royal Statistical Society, Series A,2000

5. The Evaluation of Surrogate Endpoints

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Testing conditional independence with data missing at random;Applied Mathematics-A Journal of Chinese Universities;2018-09

2. A $C_p$ criterion for semiparametric causal inference;Biometrika;2017-10-09

3. A global goodness-of-fit test for linear structural mean models;Behaviormetrika;2016-11-30