1. Multireader sample size program for diagnostic studies: demonstration and methodology
- Author
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Stephen L. Hillis and Kevin M. Schartz
- Subjects
Paper ,Image Perception, Observer Performance, and Technology Assessment ,Interface (computing) ,multireader multicase ,Inference ,Machine learning ,computer.software_genre ,01 natural sciences ,030218 nuclear medicine & medical imaging ,Data modeling ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,Software ,diagnostic radiology ,Medicine ,Radiology, Nuclear Medicine and imaging ,0101 mathematics ,reader performance ,Dorfman–Berbaum–Metz ,Modality (human–computer interaction) ,sample size estimation ,business.industry ,Statistical model ,Obuchowski–Rockette ,Sample size determination ,OS X ,Artificial intelligence ,business ,computer - Abstract
The software “Multireader sample size program for diagnostic studies,” written by Kevin Schartz and Stephen Hillis, performs sample size computations for diagnostic reader-performance studies. The program computes the sample size needed to detect a specified difference in a reader-performance measure between two imaging modalities when using the analysis methods initially proposed by Dorfman, Berbaum, and Metz, and Obuchowski and Rockette, and later unified and improved by Hillis and colleagues. A commonly used reader-performance measure is the area under the receiver-operating-characteristic curve. The program has an easy-to-use step-by-step intuitive interface that walks the user through the entry of the needed information. It can be used with several different study designs, inference procedures, hypotheses, and input and output formats. The program is functional in Windows, OS X, and Linux. The methodology underlying the software is discussed for the most common diagnostic study design, where each reader evaluates each case using each modality.
- Published
- 2018
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