6 April 2005 Bootstrapped MRMC confidence intervals
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Abstract
The multiple-reader, multiple-case (MRMC) paradigm of Swets and Pickett (1982) for ROC analysis was expressed as a components of variance model by Dorfman, Berbaum, and Metz (1992) and validated by Roe and Metz (1997) for Type I error rates. Our group proposed an analysis of the MRMC components of variance model using bootstrap (Beiden, Wagner, and Campbell, 2000) experiments instead of jackknife pseudo-values. These approaches have been challenged by some contemporary authors (e.g. Zhou, Obuchowski, and McClish, 2002). The purpose of the present paper is to formally compare the models and to carry out validation tests of their performance. We investigate different approaches to statistical inference, including several types of nonparametric bootstrap confidence intervals and report on validation and simulation experiments of Type I errors.
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Frank W. Samuelson, Robert F. Wagner, "Bootstrapped MRMC confidence intervals", Proc. SPIE 5749, Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment, (6 April 2005); doi: 10.1117/12.597660; https://doi.org/10.1117/12.597660
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KEYWORDS
Error analysis

Monte Carlo methods

Statistical analysis

Performance modeling

Computer simulations

Data modeling

Statistical inference

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