A general-purpose method for two-group randomization tests
We outline a novel approach to calculate exact p-levels for two-sample randomization tests. The approach closely resembles permute in its applications, with the main diﬀerence being that the results are approximated only if the execution time needed to calculate exact p-levels would exceed a speciﬁed maximum. We demonstrate its use by deriving p-levels for the signiﬁcance of Somers’ D, the coefficient of variation, the diﬀerence in means and in medians, and the difference in two multinomials. Copyright 2009 by StataCorp LP.
Volume (Year): 9 (2009)
Issue (Month): 1 (March)
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