Maintaining the exchangeability assumption for a two-group permutation test in the non-randomized setting |
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Authors: | Alan D Hutson Gregory E Wilding |
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Institution: | Department of Biostatistics , University at Buffalo , Farber Hall Room 249A, 3435 Main Street, Buffalo , NY , 14214-3000 , USA |
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Abstract: | In this note, we develop a new two-group bootstrap-permutation test that utilizes the tail-extrapolated quantile function estimator for the bootstrap component. This test is an extension of the standard two-group permutation test, that through its construction is defined to meet the exchangeability assumption, and thus it guarantees that the type I error is appropriately bounded by definition. This methodology is particularly useful in the non-randomized two-group setting for which the exchangeability assumption for the traditional two-group permutation test is untestable. We develop some theoretical results for the new test, followed by a simulation study and an example. |
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Keywords: | bootstrap nonparametric quantile function |
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