evaluate_cutpoint_cost: Evaluates a cutpoint by returning the mean treatment cost per...

In predictNMB: Evaluate Clinical Prediction Models by Net Monetary Benefit

Evaluates a cutpoint by returning the mean treatment cost per sample.

Description

Evaluates a cutpoint by returning the mean treatment cost per sample.

Usage

evaluate_cutpoint_cost(predicted, actual, pt, nmb)

Arguments

predicted	A vector of predicted probabilities.
actual	A vector of actual outcomes.
pt	The probability threshold to be evaluated.
nmb	A named vector containing NMB assigned to each classification and the treatment costs.

Value

Returns a numeric value representing the mean cost for that cutpoint and data.

Examples

evaluate_cutpoint_cost(
  predicted = runif(1000),
  actual = sample(c(0, 1), size = 1000, replace = TRUE),
  pt = 0.1,
  nmb = c(
    "qalys_lost" = 5,
    "low_risk_group_treatment_cost" = 0,
    "high_risk_group_treatment_cost" = 1,
    "low_risk_group_treatment_effect" = 0,
    "high_risk_group_treatment_effect" = 0.3,
    "outcome_cost" = 10
  )
)

predictNMB documentation built on June 7, 2023, 6:31 p.m.