Expected p-values in light of an ROC curve analysis applied to optimal multiple testing procedures.

ABSTRACT: Many statistical studies report p-values for inferential purposes. In several scenarios, the stochastic aspect of p-values is neglected, which may contribute to drawing wrong conclusions in real data experiments. The stochastic nature of p-values makes their use to examine the performance of given testing procedures or associations between investigated factors to be difficult. We turn our focus on the modern statistical literature to address the expected p-value (EPV) as a measure of the performance of decision-making rules. During the course of our study, we prove that the EPV can be considered in the context of receiver operating characteristic (ROC) curve analysis, a well-established biostatistical methodology. The ROC-based framework provides a new and efficient methodology for investi

SUBMITTER: Vexler A 

PROVIDER: S-EPMC6212326 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature