doIMRMC {iMRMC}R Documentation

MRMC analysis for arbitrary design dataset

Description

Execute a Multi-Reader, Multi-Case (MRMC) analysis of ROC data from imaging studies where clinicians (readers) evaluate patient images (cases). This function is a wrapper that executes doAUCmrmc and formats the output to generally match the output of doIMRMC version 1.2.5. An overview of this software, including references presenting details on the methods, can be found HERE or as an entry in the FDA/CDRH Regulatory Science Tool Catalog HERE.

Usage

doIMRMC(data)

Arguments

data

an iMRMC formatted data frame, see dfMRMC_example

Details

Unlike the legacy doIMRMC_java, the 'varDecomp' results no longer scale the covariance by a factor of 2. This scaling is needed when calculating the total variance of the difference in modalities. The user must scale this covariance by 2 manually now to achieve the total variance of the difference in modalities result.

Value

The MRMC analysis results, below is a quick summary:

Examples

# Create a sample configuration file
config <- sim.gRoeMetz.config()
# Simulate an MRMC ROC data set
dFrame.imrmc <- sim.gRoeMetz(config)
# Analyze the MRMC ROC data
result <- doIMRMC(dFrame.imrmc)


[Package iMRMC version 2.0.0 Index]