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...
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Published in | Statistics in medicine Vol. 30; no. 24; pp. 2890 - 2910 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
30.10.2011
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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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. |
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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 |