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Survival distributions impact the power of randomized placebo-phase design and parallel groups randomized clinical trials
Authors:Abrahamyan Lusine  Li Chuan Silvia  Beyene Joseph  Willan Andrew R  Feldman Brian M
Affiliation:a Child Health Evaluative Sciences Program, The Hospital for Sick Children Research Institute, University of Toronto, Toronto, Ontario MSG 1X8, Canada
b Health Policy Management and Evaluation, University of Toronto, Ontario, Canada
c Department of Pharmacology, University of Toronto, Ontario, Canada
d Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
e Department of Paediatrics, University of Toronto, Ontario, Canada
Abstract:

Objectives

The study evaluated the power of the randomized placebo-phase design (RPPD)—a new design of randomized clinical trials (RCTs), compared with the traditional parallel groups design, assuming various response time distributions. In the RPPD, at some point, all subjects receive the experimental therapy, and the exposure to placebo is for only a short fixed period of time.

Study Design and Setting

For the study, an object-oriented simulation program was written in R. The power of the simulated trials was evaluated using six scenarios, where the treatment response times followed the exponential, Weibull, or lognormal distributions. The median response time was assumed to be 355 days for the placebo and 42 days for the experimental drug.

Results

Based on the simulation results, the sample size requirements to achieve the same level of power were different under different response time to treatment distributions. The scenario where the response times followed the exponential distribution had the highest sample size requirement. In most scenarios, the parallel groups RCT had higher power compared with the RPPD.

Conclusion

The sample size requirement varies depending on the underlying hazard distribution. The RPPD requires more subjects to achieve a similar power to the parallel groups design.
Keywords:Randomized clinical trial design   Randomized placebo-phase design   Power   Sample size   Survival distributions   Clinical trial simulation
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