Generate a power table using the OR method

Generate combinations of numbers of readers J and numbers of cases K for desired power and specified random factor(s)

SsPowerTable(
  dataset,
  FOM,
  effectSize = NULL,
  alpha = 0.05,
  desiredPower = 0.8,
  analysisOption = "RRRC"
)

Arguments

dataset

The pilot ROC dataset to be used to extrapolate to the pivotal study.

FOM

The figure of merit.

effectSize

The effect size to be used in the pivotal study, default value is NULL. See Details.

alpha

The The size of the test, default is 0.05.

desiredPower

The desired statistical power, default is 0.8.

analysisOption

Specification of random factor(s): "RRRC" (the default), "FRRC", or "RRFC".

Value

A list containing up to 3 (depending on analysisOption) data frames.

Each dataframe contains 3 arrays:

numReaders

The numbers of readers in the pivotal study.

numCases

The numbers of cases in the pivotal study.

power

The estimated statistical powers.

Details

The default effectSize uses the observed effect size in the pilot study. A supplied numeric value over-rides the default value.

Note

The procedure is valid for ROC studies only; for FROC studies see online books.

Examples

# \donttest{
## Examples with CPU or elapsed time > 5s
##              user    system elapsed
## SsPowerTable 20.033  0.037  20.077    

## Example of sample size calculation with OR method
## SsPowerTable(dataset02, FOM = "Wilcoxon", method = "OR")
# }