An oncology clinical trial design with randomization adaptive to both short- and long-term responses

Hao Liu, Xiao Lin, Xuelin Huang

Research output: Contribution to journalArticle

Abstract

In oncology clinical trials, both short-term response and long-term survival are important. We propose an urn-based adaptive randomization design to incorporate both of these two outcomes. While short-term response can update the randomization probability quickly to benefit the trial participants, long-term survival outcome can also change the randomization to favor the treatment arm with definitive therapeutic benefit. Using generalized Friedman’s urn, we derive an explicit formula for the limiting distribution of the number of subjects assigned to each arm. With prior or hypothetical knowledge on treatment effects, this formula can be used to guide the selection of parameters for the proposed design to achieve desirable patient number ratios between different treatment arms, and thus optimize the operating characteristics of the trial design. Simulation studies show that the proposed design successfully assign more patients to the treatment arms with either better short-term tumor response or long-term survival outcome or both.

Original languageEnglish (US)
JournalStatistical Methods in Medical Research
DOIs
StateAccepted/In press - Jan 1 2017

Fingerprint

Oncology
Random Allocation
Randomisation
Clinical Trials
Survival
Operating Characteristics
Treatment Effects
Therapeutics
Limiting Distribution
Assign
Explicit Formula
Tumor
Update
Optimise
Simulation Study
Design
Neoplasms

Keywords

  • Adaptive randomization
  • clinical trial design
  • generalized Friedman’s urn
  • multiple endpoints
  • randomized play-the-winner

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability
  • Health Information Management

Cite this

An oncology clinical trial design with randomization adaptive to both short- and long-term responses. / Liu, Hao; Lin, Xiao; Huang, Xuelin.

In: Statistical Methods in Medical Research, 01.01.2017.

Research output: Contribution to journalArticle

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