Function to calculate the number of cases needed for an ROC analysis for a single test

Source: R/roc.R

Function to calculate the number of cases needed for an ROC analysis for a single test

get_nc_roc(z = 1.96, precision = 0.05, vf)

Arguments

z

The z-score/z-value for a 95% confidence interval. Typical vaues for z are 1.645 for a 90% confidence interval, 1.75 for a 92% confidence interval, 1.96 for a 95% confidence interval and 2.05 for a 96% confidence interval. Default is 1.96.
precision

The numeric value of the desired precision. Default is set at ±5% (0.05).
vf

Variance function of the area under the curve (AUC) for the received operator characteristic (ROC) surve sample size calculations

Source

Obuchowski NA. Fundamentals of clinical research for radiologists: ROC Analysis. American Journal of Roentgenology. 2005;184.

Value

A numeric value for the number of cases needed for an ROC analysis for a single test

Examples


  get_nc_roc(z = 1.96, precision = 0.05, vf = 0.00991024)
#> [1] 15.22847