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) <doi:10.1177/0272989X06295361>.
|Author||Jing Zhang [aut, cre], Zhi Jin [aut]|
|Maintainer||Jing Zhang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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