ggdecision: The Decision curve

In JohnPickering/risk-assessment-plot-package: Risk Assessment Plot and reclassification metrics

The Decision curve

Description

ggdecision plots decision curves to assess the net benefit at different thresholds

ggdecision plots decision curves to assess the net benefit at different thresholds

Usage

ggdecision(x1, x2 = NULL, y = NULL)

ggdecision(x1, x2 = NULL, y = NULL)

Arguments

x1	Either a logistic regression fitted using glm (base package) or lrm (rms package) or calculated probabilities (eg through a logistic regression model) of the baseline model. Must be between 0 & 1
x2	Either a logistic regression fitted using glm (base package) or lrm (rms package) or calculated probabilities (eg through a logistic regression model) of the new (alternative) model. Must be between 0 & 1
y	Binary of outcome of interest. Must be 0 or 1 (if fitted models are provided this is extracted from the fit which for an rms fit must have x = TRUE, y = TRUE).

Value

a ggplot

a ggplot

References

Vickers AJ, van Calster B, Steyerberg EW. A simple, step-by-step guide to interpreting decision curve analysis. Diagn Progn Res 2019;3(1):18. 2. Zhang Z, Rousson V, Lee W-C, et al. Decision curve analysis: a technical note. Ann Transl Med 2018;6(15):308–308.

Vickers AJ, van Calster B, Steyerberg EW. A simple, step-by-step guide to interpreting decision curve analysis. Diagn Progn Res 2019;3(1):18. 2. Zhang Z, Rousson V, Lee W-C, et al. Decision curve analysis: a technical note. Ann Transl Med 2018;6(15):308–308.

JohnPickering/risk-assessment-plot-package documentation built on July 3, 2023, 8:41 a.m.