aucMRMCcluster {mitoticFigureCounts}R Documentation

aucMRMCcluster

Description

The results of a multi-reader multi-case (MRMC) analysis of the auc for each scanner. The MRMC analysis is accomplished by the OR method (Obuchowski and Rockette: Obuchowski1995_Commun-Stat-Simulat_v24p285). The function used is mrmcAnalysisOR. Since the data is binary, auc is the average of sensitivity and specificity or half of (Youden's index + 1). Sensitivity is defined as the number of MFs detected by an observer divided by the number of true MFs. Specificity is defined as one minus the false-positive fraction, where the false-positive fraction is the number of false MFs that were positively marked, divided by the total number of false MFs. Furthermore, we account for the fact that there are multiple observations per case (multiple ROIs per WSI, clustered data: Obuchowski1997_Biometrics_v53p567) when calculating the reader by modality covariances that are used in the OR method. The function used is doAUCcluster

Usage

aucMRMCcluster

Format

An object of class list of length 4.

Details

The results of this script are a list of MRMC AUC analysis results for 4 scanners.

Each scanner results is itself a list contains the MRMC analysis results for the null hypothesis that the scanner accuracy is the same as the microscope accuracy:

#' The analysis results are used to produce:


[Package mitoticFigureCounts version 1.0 Index]