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ggDCA (version 1.1)

Calculate and Plot Decision Curve

Description

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) .

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Version

Install

install.packages('ggDCA')

Monthly Downloads

50

Version

1.1

License

GPL-3

Maintainer

Jing Zhang

Last Published

September 6th, 2020

Functions in ggDCA (1.1)

rFP.p100

Calculate reduction in false positive count
range

Ranges for net benefit
AUDC

Area under Decision Curve
LIRI

ICGC Liver Data from Japan
dca

Calculate Decision Curve Data
ggplot.rFP.p100

Plot for decision curve