SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
Statistical Methods in Medical Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Chuang-Stein, C.
Right arrow Articles by Tong, D. M
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chuang-Stein, C.
Right arrow Articles by Tong, D. M
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

The impact and implication of regression to the mean on the design and analysis of medical investigations

Christy Chuang-Stein

Clinical Development Biostatistics I, Pharmacia & Upjohn Company, Kalamazoo, MI 49001, USA

Donald M Tong

Clinical Development Biostatistics I, Pharmacia & Upjohn Company, Kalamazoo, MI 49001, USA, jcchuang{at}am.pnu.com

We have examined the regression effect and its magnitude under the Gaussian distributional assumption. The impact and implication of regression to the mean on the analysis of medical investigations was discussed. For simplicity, we called the approach adjusting for the regression effect a two-stage procedure and noted its relationship to the analysis of covariance model for comparing treatment groups. We also proposed to examine the correlation structure among repeated measurements in the absence of any external interventions through a model more realistic than the one assuming equal correlations. The proposed structure led us to investigate ways to reduce or eliminate regression effect via study designs when patient selection is inevitable. Two examples were given to help illustrate the discussion in this paper.

Statistical Methods in Medical Research, Vol. 6, No. 2, 115-128 (1997)
DOI: 10.1177/096228029700600203
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Ann Rheum DisHome page
F Hanna, P R Ebeling, Y Wang, R O'Sullivan, S Davis, A E Wluka, and F M Cicuttini
Factors influencing longitudinal change in knee cartilage volume measured from magnetic resonance imaging in healthy men
Ann Rheum Dis, July 1, 2005; 64(7): 1038 - 1042.
[Abstract] [Full Text] [PDF]

Home page
 Ann Rheum DisHome page
A E Wluka, R Wolfe, S R Davis, S Stuckey, and F M Cicuttini
Tibial cartilage volume change in healthy postmenopausal women: a longitudinal study
Ann Rheum Dis, April 1, 2004; 63(4): 444 - 449.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Chem.Home page
L. El-Khairy, S. E. Vollset, H. Refsum, and P. M. Ueland
Predictors of Change in Plasma Total Cysteine: Longitudinal Findings from the Hordaland Homocysteine Study
Clin. Chem., January 1, 2003; 49(1): 113 - 120.
[Abstract] [Full Text] [PDF]


Advertisement