Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2009 Feb 15;28(4):716-9.
doi: 10.1002/sim.3503.

Response to Andrew Dunning's comment on 'evaluating a surrogate endpoint at three levels, with application to vaccine development'

Peter B Gilbert  1 , Li Qin, Steven G Self
Affiliations
Comment

Response to Andrew Dunning's comment on 'evaluating a surrogate endpoint at three levels, with application to vaccine development'

Peter B Gilbert et al. Stat Med. .

Abstract

In replying to Andrew Dunning’s helpful letter, we endeavor to clarify the value of incorporating baseline participant predictors of the potential surrogate endpoint and of the clinical endpoint into the evaluation of a surrogate endpoint. Such baseline predictors are useful for the evaluation of surrogates defined within each of the statistical and principal surrogate frameworks, which are complementary.

PubMed Disclaimer

Comment on

References

    1. Sadoff JC, Wittes J. Correlates, surrogates, and vaccines. The Journal of Infectious Diseases. 2007;196:1279–1281. - PubMed
    1. Qin L, Gilbert PB, Corey L, McElrath J, Self SG. A framework for assessing immunological correlates of protection in vaccine trials. The Journal of Infectious Diseases. 2007;196:1304–1312. - PubMed
    1. Gilbert PB, Hudgens MG. Evaluating candidate principal surrogate endpoints. Biometrics. in press. - PMC - PubMed
    1. Salk JE, Menke WJ, Jr, Francis T., Jr A clinical, epidemiological and immunological evaluation of vaccination against epidemic influenza. American Journal of Hygiene. 1943;42:57–93.
    1. Pearl J. Causality: Models, Reasoning, and Inference. Cambridge University Press; 2000.

Publication types

LinkOut - more resources