In this commentary, we argue that it is essential to determine whether a non-significant sample effect really indicates that a particular application of transcranial brain stimulation (TBS) had no effect. We point out that non-significant results do not necessarily support a non-effect and show why reporting Bayesian statistics can help answering whether there is good enough evidence for the null hypothesis in your TBS data.
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Biel et al. (2018) studied this question.
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