Diagnostic and prognostic models are typically evaluated with
measures of accuracy that do not address clinical consequences.
Decision-analytic techniques allow assessment of clinical outcomes but
often require collection of additional information and may be cumbersome to
apply to models that yield a continuous result.
Decision curve analysis is a suitable method for evaluating
alternative diagnostic and prognostic strategies that has advantages over
other commonly used measures and techniques.
This method was described by Andrew J. Vickers (2006) .