Multiple-objective response-adaptive repeated measurement designs for clinical trials

Yuanyuan Liang, Keumhee Chough Carrière

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achieve a specific goal. Response-adaptive designs for clinical trials are usually constructed to achieve a single objective. In this paper, we develop a new adaptive allocation rule to improve current strategies for building response-adaptive designs to construct multiple-objective repeated measurement designs. This new rule is designed to increase estimation precision and treatment benefit by assigning more patients to a better treatment sequence. We demonstrate that designs constructed under the new proposed allocation rule can be nearly as efficient as fixed optimal designs in terms of the mean squared error, while leading to improved patient care.

Original languageEnglish (US)
Pages (from-to)1134-1145
Number of pages12
JournalJournal of Statistical Planning and Inference
Issue number3
StatePublished - Mar 1 2009


  • Evaluation function
  • Mean squared error (MSE)
  • Multiple-objective design
  • Optimality criteria
  • Repeated measurement design (RMD)
  • Response-adaptive design (RAD)
  • Self and mixed carryover effects model

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


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