Optimal response-adaptive randomized designs for multi-armed survival trials

We considered design issues for multiple treatment arms in survival intervention trials and used optimal design theory to allocate patients adaptively in such trials. We proposed three types of optimal designs: one ensures that we have the most precise estimates of the treatment effects, another gua...

Full description

Saved in:
Bibliographic Details
Published inStatistics in medicine Vol. 30; no. 24; pp. 2890 - 2910
Main Authors Sverdlov, Oleksandr, Tymofyeyev, Yevgen, Wong, Weng Kee
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 30.10.2011
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:We considered design issues for multiple treatment arms in survival intervention trials and used optimal design theory to allocate patients adaptively in such trials. We proposed three types of optimal designs: one ensures that we have the most precise estimates of the treatment effects, another guarantees that we have the minimal sample size subject to user‐specified allocation ratio assignments among treatment arms, and the third ensures that the design has minimal total hazard for the cohort. The latter two types of optimal designs are also subject to user‐specified power constraints for testing contrasts among treatment effects. The operating characteristics of these optimal designs along with balanced designs are compared theoretically and by simulation, including their robustness properties with respect to model misspecifications. Our results show that the proposed optimal designs are frequently unbalanced and that they are generally more efficient and more ethical than the popular balanced designs. We also apply our response‐adaptive allocation strategy to redesign a three‐arm head and neck cancer trial and make comparisons. Copyright © 2011 John Wiley & Sons, Ltd.
Bibliography:istex:C19A65523BEA8D3D60E4278DACBE6E09949139E1
ArticleID:SIM4331
ark:/67375/WNG-HC7K161P-0
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0277-6715
1097-0258
1097-0258
DOI:10.1002/sim.4331