Michael Newton

Title:  On bundling data from related testing units to improve power

Abstract: Contemporary applications of biostatistics continue to fuel research in methodologies for high-dimensional hypothesis testing.  One approach to increase the power for a unit on test is to merge data from other units having similar data characteristics.  I will present one version of this approach in the context where units are associated with nodes of an undirected graph; I will present findings on the sampling properties of the test statistics and preliminary numerical results.