Overview: MRMCaov is an R package that, similar to the stand-alone software OR-DBM 2.51, has the ability to perform Obuchowski-Rockette (OR) analyses for all three types of analyses: random readers and random cases, random readers and fixed cases, and fixed reader and random cases. For the OR method three types of error covariance estimation can be selected: jackknife, unbiased, or the method of DeLong et al (1988, Biometrics). Reader performance measures that can be analyzed are the empirical AUC and the binormal likelihood-ratio (a.k.a. “proper binormal” and bi-chi-square) AUC.
This is an initial version of the software. More features will be added to this software in the next 1-2 years. This package is currently being developed by Brian Smith (Dept. of Biostatistics, University of Iowa) with Stephen Hillis (Depts. Of Radiology and Biostatistics, University of Iowa) advising on statistical issues.
This software is currently being developed as part of the “Generalized Obuchowski-Rockette Methodology for Analysis of Radiologic Diagnostic Imaging Studies,” funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health under Award Number R01EB025174.
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