SsPowerTable: Generate a power table using the OR method

In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance

Generate a power table using the OR method

Description

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

Usage

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".

Details

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

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.

Note

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

Examples

## 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")

 

dpc10ster/rjafroc documentation built on July 4, 2025, 6:30 p.m.