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<h2 class="hd hd-2 unit-title">Motivation</h2>
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<h2 class="hd hd-2 unit-title">Bayesian Decision Analysis</h2>
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<h2 class="hd hd-2 unit-title">Interactive: Bayesian Decision Analysis</h2>
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<p style="text-align: left;">The graph on the left below shows the expected "cost" to patients for a randomized clinical trial design with a particular statistical significance level. The graph on the right shows the tradeoff between the false positive rate (i.e., type 1 error) and the true positive rate (i.e., 1–type 2 error) for the given clinical trial design. Can you set the significance level so that it minimizes the expected cost to patients? What happens when the cost of a type 1 (false positive) or type 2 (false negative) error changes?</p>
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<h2 class="hd hd-2 unit-title">Results & Implications</h2>
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