JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
RESEARCH SUPPORT, U.S. GOV'T, P.H.S.
Add like
Add dislike
Add to saved papers

Estimation of the intervention effect in a non-randomized study with pre- and post-mismeasured binary responses.

Statistics in Medicine 2005 Februrary 16
In non-randomized clinical studies, the regression phenomenon can confound interpretation of the effectiveness of an intervention. The regression effect arises due to daily variation and/or misclassification of the biologic marker used in selection as well as in the assessment of the intervention effect. We consider a scenario in which the selection criterion for a subject's participation in the study is such that he/she must have a positive diagnostic test at screening. The disease status is then reassessed at the end of intervention. Thus, two repeated measurements of a binary disease outcome are available, with only selected subjects having a second measurement upon follow-up. We propose methods for estimating the change in event probability resulting from implementing the intervention while adjusting for the misclassification that produces the regression effect. We extend this approach to estimation of both the placebo and intervention effects in placebo-controlled studies designed with a misclassified binary outcome. Analyses of two biomedical studies are used for illustration.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app