scholarly journals Minimizing the Maximum Expected Sample Size in Two-Stage Phase II Clinical Trials with Continuous Outcomes

2012 ◽  
Vol 22 (4) ◽  
pp. 836-852 ◽  
Author(s):  
James M. S. Wason ◽  
Adrian P. Mander
2009 ◽  
Vol 19 (4) ◽  
pp. 721-731 ◽  
Author(s):  
Nobuyuki Masaki ◽  
Tatsuki Koyama ◽  
Isao Yoshimura ◽  
Chikuma Hamada

2006 ◽  
Vol 25 (19) ◽  
pp. 3382-3395 ◽  
Author(s):  
Anindita Banerjee ◽  
Anastasios A. Tsiatis

2016 ◽  
Vol 27 (1) ◽  
pp. 158-171 ◽  
Author(s):  
Haolun Shi ◽  
Guosheng Yin

Conventional phase II clinical trials use either a single- or multi-arm comparison scheme to examine the therapeutic effects of the experimental drug. Both single- and multi-arm evaluations have their own merits; for example, single-arm phase II trials are easy to conduct and often require a smaller sample size, while multiarm trials are randomized and typically lead to a more objective comparison. To bridge the single- and double-arm schemes in one trial, we propose a two-stage design, in which the first stage takes a single-arm comparison of the experimental drug with the standard response rate (no concurrent treatment) and the second stage imposes a two-arm comparison by adding an active control arm. The design is calibrated using a new concept, the detectable treatment difference, to balance the trade-offs between futility termination, power, and sample size. We conduct extensive simulation studies to examine the operating characteristics of the proposed method and provide an illustrative example of our design.


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