decisionCurve.diff.pvalue: Comparing two decision curves and reporting P value

In ProfessionalFarmer/loonR: Common function in bioinformatics analysis

Comparing two decision curves and reporting P value

Description

Comparing two decision curves and reporting P value

Usage

decisionCurve.diff.pvalue(
  outcome,
  pred1,
  pred2,
  boots = 100,
  xstart = 0.01,
  xstop = 0.99,
  step = 0.01,
  type = "treated",
  model.name = "Model"
)

Arguments

boots	100 Bootstrape to avoid overfitting
xstart	the starting point of the threshold probability, the default value is 0.01.
xstop	the end point of the threshold probability, the default value is 0.99
step	a numerical value specifying the incremental step of the threshold probability, the default value is 0.01
type	controls the type of net benefit to be computed. The allowed values correspond to the treated (“treated”), untreated (“untreated”) and overall (“overall”) patients, or to the ADAPT index (“adapt”). The default is the “treated”
model.name	Default Model

Examples

data(LIRI)

pred1 <- as.vector( unlist( LIRI[,c(3)] ) )
pred2 <- as.vector( unlist( LIRI[,c(2)] ) )
decisionCurve.diff.pvalue(LIRI$status, pred1, pred2)

ProfessionalFarmer/loonR documentation built on Oct. 9, 2024, 9:56 p.m.