The Decision curve

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.