NestMRMC (version 1.0)

AUC_per_reader_nest: MRMC analysis in nested data problem

Description

This function takes nested data as a data frame and runs a multi-reader multi-case analysis for single reader in nested data problem based on modified U-statistics as described in the following paper:

Usage

AUC_per_reader_nest(data)

Value

This function returns a list containing three dataframes.

    Here is a quick summary:
        AUC_per_reader [data.frame] this data frame contains the AUC estimates for each reader under different modalities (Mod1 denotes modality 1 and Mod2 denotes modality 2). 
        AUC_Var_per_reader [data.frame] this data frame contains the AUC variance estimates for each reader under different modalities.
        
        numROI [data.frame] this data frame contains the number of positive and negative ROIs in each case. 

Arguments

data

The nested data for analysis. This dataset should have specified columns: "patient","reader1","reader2","reader3","reader4","reader5","truth","mod","region".

Examples

 
data = NestMRMC::expected_data

Outputs = AUC_per_reader_nest(data)