DecisionCurve: Calculate and Plot Decision Curves

Decision curves are a useful tool to evaluate the population impact of adopting a risk prediction instrument into clinical practice. Given one or more instruments (risk models) that predict the probability of a binary outcome, this package calculates and plots decision curves, which display estimates of the standardized net benefit by the probability threshold used to categorize observations as 'high risk.' Curves can be estimated using data from an observational cohort, or from case-control studies when an estimate of the population outcome prevalence is available. Confidence intervals calculated using the bootstrap can be displayed and a wrapper function to calculate cross-validated curves using k-fold cross-validation is also provided.

Author
Marshall Brown
Date of publication
2016-08-12 08:58:01
Maintainer
Marshall Brown <mdbrown@fredhutch.org>
License
GPL-2
Version
1.3
URLs

View on CRAN

Man pages

Add_CostBenefit_Axis
Add cost benefit ratio axis to a decision curve plot.
cv_decision_curve
Calculate cross-validated decision curves
dcaData
Simulated dataset for package 'DecisionCurve'
dcaData_cc
Simulated dataset for package 'DecisionCurve'
decision_curve
Calculate decision curves
DecisionCurve-package
Generate and plot decision curves.
plot_clinical_impact
Plot the clinical impact curve from a DecisionCurve object.
plot_decision_curve
Plot the net benefit curves from a decision_curve object or...
plot_roc_components
Plot the components of a ROC curve by the high risk...
summary.decision_curve
Displays a useful description of a decision_curve object

Files in this package

DecisionCurve
DecisionCurve/inst
DecisionCurve/inst/notes
DecisionCurve/inst/notes/tutorial.html
DecisionCurve/inst/notes/tutorial.Rmd
DecisionCurve/NAMESPACE
DecisionCurve/NEWS
DecisionCurve/data
DecisionCurve/data/dcaData.rda
DecisionCurve/data/dcaData_cc.rda
DecisionCurve/R
DecisionCurve/R/plot_functions_sub.R
DecisionCurve/R/summary.decision_curve.R
DecisionCurve/R/DecisionCurve.R
DecisionCurve/R/cv_decision_curve.R
DecisionCurve/R/data.R
DecisionCurve/R/plot_functions_main.R
DecisionCurve/R/Add_CostBenefit_Axis.R
DecisionCurve/R/decision_curve.R
DecisionCurve/R/subroutines.R
DecisionCurve/README.md
DecisionCurve/MD5
DecisionCurve/DESCRIPTION
DecisionCurve/man
DecisionCurve/man/Add_CostBenefit_Axis.Rd
DecisionCurve/man/summary.decision_curve.Rd
DecisionCurve/man/plot_decision_curve.Rd
DecisionCurve/man/DecisionCurve-package.Rd
DecisionCurve/man/plot_clinical_impact.Rd
DecisionCurve/man/plot_roc_components.Rd
DecisionCurve/man/dcaData.Rd
DecisionCurve/man/decision_curve.Rd
DecisionCurve/man/cv_decision_curve.Rd
DecisionCurve/man/dcaData_cc.Rd