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We calculated cost-effectiveness acceptability frontiers to report the brand with the highest mean net monetary benefit (most cost-effective on average) and the proportion of simulations for which this brand had the highest net monetary benefit (recognising sampling variation), at different levels of willingness-to-pay for a QALY gain [30].
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