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 casecontrol 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 crossvalidated curves using kfold crossvalidation is also provided.
Package details 


Author  Marshall Brown 
Date of publication  20160812 08:58:01 
Maintainer  Marshall Brown <mdbrown@fredhutch.org> 
License  GPL2 
Version  1.3 
URL  http://mdbrown.github.io/DecisionCurve/ https://github.com/mdbrown/DecisionCurve 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.