RSM fitted model for FROC sample size

RSM fitted model for FROC sample size

SsFrocSampleSize(dataset, effectSizeROC, JPivot, KPivot, lesDistr)

Arguments

dataset

The pilot dataset.

effectSizeROC

The effect size in ROC-AUC units

JPivot

The number of readers in the pivotal study

KPivot

The number of cases in the pivotal study

lesDistr

A 1D array containing the probability mass function of number of lesions per diseased case in the pivotal FROC study.

Value

A list containing:

• effectSizeROC, the specified ROC effect size.

• scaleFactor, the factor by which the ROC effect size must by multiplied to get the wAFROC effect size.

• powerRoc, the ROC power.

• powerFroc, the wAFROC power.

Details

See https://dpc10ster.github.io/RJafrocQuickStart/froc-sample-size.html for explanation of the FROC sample size estimation procedure.

Examples

# \donttest{
## Examples with CPU or elapsed time > 5s
## user system elapsed
## SsFrocSampleSize 8.102  0.023   8.135

## SsFrocSampleSize(DfExtractDataset(dataset04, trts = c(1,2)), 
## effectSizeROC = 0.03, JPivot = 5, KPivot = 100, lesDistr = c(0.69, 0.2, 0.11))
# }