Presentation + Paper
3 April 2023 Obuchowski-Rockette analysis for Multi-Reader Multi-Case (MRMC) readers-nested-in-test study design with unequal numbers of readers
Author Affiliations +
Abstract
The Obuchowski-Rockette method has been an important tool for analyzing multi-reader multi-case (MRMC) radiologic imaging data. Although the typical study design for such studies has been the factorial design, where each reader reads each case using each test (modality), sometimes a reader-nested-in-test design is more appropriate. We consider such an example in this talk, where 53 Australian and 15 Singaporean breast radiologists interpreted the same test in their respective locations. In this paper we show how the Obuchowski-Rockette method can be used for analysis of such data, without assuming that the number of readers is the same for each test.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen L. Hillis and BaoLin Pauline Soh "Obuchowski-Rockette analysis for Multi-Reader Multi-Case (MRMC) readers-nested-in-test study design with unequal numbers of readers", Proc. SPIE 12467, Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 124670F (3 April 2023); https://doi.org/10.1117/12.2655190
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KEYWORDS
Design and modelling

Analytical research

Covariance

Error analysis

Breast

Diagnostics

Performance modeling

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