CI.classNRI: Statistical metrics and confidence intervals for classes

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

Statistical metrics and confidence intervals for classes

Description

The function CI.classNRI calculates the NRI statistics for reclassification of data already in classes with confidence intervals. Uses statistics.classNRI.

Usage

CI.classNRI(
  c1,
  c2,
  y,
  s1 = NULL,
  s2 = NULL,
  conf.level = 0.95,
  n.boot = 1000,
  dp = 3
)

Arguments

c1	Risk classes of the baseline model (ordinal)
c2	Risk classes of new model
y	Binary of outcome of interest. Must be 0 or 1.
s1	The savings or benefit when am event is reclassified to a higher group by the new model (positive numeric)
s2	The benefit when a non-event is reclassified to a lower group (positive numeric)
conf.level	The confidence interval expressed as a fraction of 1 (ie 0.95 is the 95% confidence interval )
n.boot	The number of "bootstraps" to use. Performance slows down with more bootstraps. For trialling result, use a low number (eg 2), for accuracy use a large number (eg 2000)
dp	The number of decimal places to display

Value

A list with four items:

• 1. meta_data Some overall meta data - Confidence Interval, number of bootstraps, s1, s2

• 2. Metrics Point estimates of the statistical metrics (see list below)

• 3. Each_bootstrap_metrics Point estimates of the statistical metrics for each bootstrapped sample (see list below)

• 4. Summary Metrics Point estimates with confidence intervals of the statistical metrics. See following list:)

  • Total (n) Total number of subjects

  • Events (n) Number of subjects with the event (outcome) of interest

  • Non-events (n) Number of subjects without the event (outcome) of interest

  • Prevalence The prevalence of the event

  • NRI events The NRI with confidence interval for those with the event.

  • NRI non-events The NRI with confidence interval for those without the event.

  • wNRI-events The weighted NRI for those with the event

  • wNRI-nonevents The weighted NRI for those without the event

  • Confusion matrix events A confusion matric (table) showing the relationship of the numbers classified into each class with the baseline model compared to those in each class with the new model

  • Confusion matrix non-events A confusion matric (table) showing the relationship of the numbers classified into each class with the baseline model compared to those in each class with the new model

A matrix of metrics

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