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A simulation study of the strength of evidence in the recommendation of medications based on two trials with statistically significant results

Fig 1

Bayes factors in favor of the alternative hypothesis for two significant trials when the true effect size is 0.2.

Boxes contain Bayes factors for 50% of the simulations with tails extending to Bayes factors for 100% of the simulations excluding outliers. Circles indicate outliers and are those values more than 1.5*IQR removed from the boxes. Note that for large numbers of participants, Bayes factors increase exponentially and only the tail of the boxes is visible.

Fig 1