imrmc: Size and Analyze Multi-reader Multi-case Reader Studies, 1. Introduction
1. Introduction
The primary objective of this Java application (iMRMC) is to assist investigators with analyzing and sizing multi-reader multi-case (MRMC) reader studies that compare the difference in the area under Receiver Operating Characteristic curves (AUCs) from two modalities. The core elements of this java application include the ability to do MRMC variance analysis and the ability to size an MRMC trial. A database containing components of variance from past MRMC studies is planned.
When publishing results using our software, please reference with one of the following:
Gallas, B. D.; Bandos, A.; Samuelson, F. & Wagner, R. F. (2009), 'A Framework for Random-Effects ROC Analysis: Biases with the Bootstrap and Other Variance Estimators', Commun Stat A-Theory 38 (15), 2586-2603.
Gallas, B. D. (2006), 'One-Shot Estimate of MRMC Variance: AUC.' Acad Radiol, 13 (3), 353-362.
The software treats arbitrary study designs that are not "fully-crossed". Please refer to the following for more information.
Gallas, B. D. & Brown, D. G. (2008), 'Reader Studies for Validation of CAD Systems.' Neural Networks Special Conference Issue, 21, (2-3), 387-397.
Obuchowski, N.; Gallas, B. D. & Hillis, S. L. (2012), 'Multi-Reader ROC Studies with Split-Plot Designs: A Comparison of Statistical Methods.' Acad Radiol, 19, 1508-1517.
Chen, W; Gong, Q; Gallas, B. D, 'Paired split-plot designs of multireader multicase studies,' J. Med. Imag. 5(3), 031410 (2018).
