A permutation test for randomized trials uses external data through a Bayesian working model to detect treatment effects in any subgroup while preserving exact type I error control even when the external data are biased or confounded.
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Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials
A permutation test for randomized trials uses external data through a Bayesian working model to detect treatment effects in any subgroup while preserving exact type I error control even when the external data are biased or confounded.