More details about these programs are available once you
follow the links. Some links allow you to directly download a
program, while others take you to another site where the programs
can be downloaded. The programs are simply listed in
alphabetical order.
MRMCaov (Brian Smith, PhD)
Package for multi-reader multi-case analysis of variance using R
https://github.com/brian-j-smith/mrmcaov
MRMCaov.m (Brian Smith, PhD)
Package for multi-reader multi-case analysis of variance using MATLAB
https://github.com/brian-j-smith/mrmcaov.m
CLABROC (Charles Metz, PhD et al.)
Calculates the maximum likelihood of the bivariate bi-normal
model for potentially correlated continuous data.
http://xray.bsd.uchicago.edu/krl/index.htm
CORROC2 (Charles Metz, PhD et al.)
Calculates the maximum likelihood of the bivariate bi-normal
model for potentially correlated data.
http://xray.bsd.uchicago.edu/krl/index.htm
INDROC (Charles Metz, PhD et al.)
Maximum likelihood estimation for bivariate bi-normal model
uncorrelated ordinal data.
http://xray.bsd.uchicago.edu/krl/index.htm
FROC (Dev Chakraborty, PhD)
Jackknifed AFROC program & supporting documents
http://www.devchakraborty.com
LABMRMC (Charles Metz, PhD et al.)
Designed for ROC analysis with multiple readers and treatments.
Uses an ANOVA to test for significant differences.
http://xray.bsd.uchicago.edu/krl/index.htm
LABROC1 (Charles Metz, PhD et al.)
Fits the bi-normal ROC to continuous data using maximum
likelihood estimation.
http://xray.bsd.uchicago.edu/krl/index.htm
LROC (Richard Swensson, PhD)
Allows you to take target location into account in the ROC data
collection and analysis. You need to download & unzip both
files here.
lroczip.zip
cygwinb19zip.dll
http://sites.google.com/a/philipfjudy.com/www/Home/lroc-software
MRMC (Donald Dorfman, PhD; Kevin Berbaum, PhD; Charles Metz,
PhD)
Designed for ROC analysis with multiple readers and multiple
cases. Uses an ANOVA to test for significant differences in
treatments, readers and cases.
http://perception.radiology.uiowa.edu
One-Shot MRMC (Matthew A. Kupinski, PhD; Brandon D. Gallas, PhD)
Non-parametric U-statistic approach for variance estimation of reader-averaged AUC from MRMC experiment
http://www.radiology.arizona.edu/CGRI/IQ/page2/page7/page7.html
OR/DBM MRMC Software for SAS (Steve Hillis, Kevin Schartz, Kevin Berbaum)
Fits the Obuchowski-Rockette (OR) & Dorfman-Berbaum-Metz (DBM) procedures to multireader multicase ROC data using SAS
perception.radiology.uiowa.edu
PlotROC.xls (Charles Metz, PhD et al.)
Takes the a and b parameters of an ROC analysis and plots the
ROC curve.
http://xray.bsd.uchicago.edu/krl/index.htm
ROCFIT (Charles Metz, PhD et al.)
Fits the bi-normal ROC to ordinal category data using maximum
likelihood estimation.
http://xray.bsd.uchicago.edu/krl/index.htm
ROCKIT (Charles Metz, PhD et al.)
Allows for a comparison of partially paired datasets.
http://xray.bsd.uchicago.edu/krl/index.htm
ROCPWRPC (Charles Metz, PhD et al.)
Computes the statistical power of a test given a, b and the
correlation parameter output from CLABROC or CORROC2.
http://xray.bsd.uchicago.edu/krl/index.htm
RSCORE (Donald Dorfman, PhD; Kevin Berbaum, PhD; Hatem
Abu-Dagga, MS; Kevin Schartz, PhD)
Computes maximum-likelihood estimates of parameters of the
bi-normal model.
http://perception.radiology.uiowa.edu
For anyone moving to Windows 7 you may find that some of the older ROC programs do not run anymore (32 vs 64 bit issue and changes in Microsoft in 7).
There is an easy fix however to run them in a "virtual" DOS environment. Go to http://www.dosbox.com/ and download DOSBox.