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Vaccine clinical trials with dynamic borrowing of historical controls: Two retrospective studies
Authors:Andrea Callegaro  Naveen Karkada  Emmanuel Aris  Toufik Zahaf
Institution:Department of Biostatistics, GSK, Rixensart, Belgium
Abstract:Traditional vaccine efficacy trials usually use fixed designs with fairly large sample sizes. Recruiting a large number of subjects requires longer time and higher costs. Furthermore, vaccine developers are more than ever facing the need to accelerate vaccine development to fulfill the public's medical needs. A possible approach to accelerate development is to use the method of dynamic borrowing of historical controls in clinical trials. In this paper, we evaluate the feasibility and the performance of this approach in vaccine development by retrospectively analyzing two real vaccine studies: a relatively small immunological trial (typical early phase study) and a large vaccine efficacy trial (typical Phase 3 study) assessing prophylactic human papillomavirus vaccine. Results are promising, particularly for early development immunological studies, where the adaptive design is feasible, and control of type I error is less relevant.
Keywords:adaptive design  Bayesian inference  clinical trials  dynamic borrowing  historical controls  vaccine efficacy  vaccine trials
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