Decision curve analysis: confidence intervals and hypothesis testing for net benefit. KU Leuven
BACKGROUND: A number of recent papers have proposed methods to calculate confidence intervals and p values for net benefit used in decision curve analysis. These papers are sparse on the rationale for doing so. We aim to assess the relation between sampling variability, inference, and decision-analytic concepts. METHODS AND RESULTS: We review the underlying theory of decision analysis. When we are forced into a decision, we should choose the ...