This study suggests that RCT parameters can be improved over current practice to reduce costs while maintaining statistical power. In addition, use of a large-scale population dataset in a massively parallel computing analysis allows exploration of the wider parameter space of RCT design prior to running a trial, which could help accelerate drug discovery and approval.
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Goldenholz et al. (2017) studied this question.
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