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 All Versions of this Article:
0962280207081606v1
17/6/581    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
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 Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Liang, Y.
Right arrow Articles by Carriere, K. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Liang, Y.
Right arrow Articles by Carriere, K. C.
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?

Stratified and randomized play-the-winner rule

Yuanyuan Liang

Alberta Research Centre for Child Health Evidence, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada

Kimmie Chough Carriere

Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada, kccarrie{at}ualberta.ca

In this paper, a new allocation rule for treatment assignments in sequential clinical trials is proposed. The stratified and randomized play-the-winner rule (SRPWR) is an extension of the randomized play-the-winner rule to more than two treatments. It is applicable to cases where the probabilities of success of a treatment depend on both treatments and known confounders (e.g., patient's age, gender and disease status). On average, demonstrate that the SRPWR assigns more patients to the better treatment, while eliminating the selection bias and allowing delayed responses to treatments.

This version was published on December 1, 2008

Statistical Methods in Medical Research, Vol. 17, No. 6, 581-593 (2008)
DOI: 10.1177/0962280207081606


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?




Advertisement