Journal article
Multireader sample size program for diagnostic studies: demonstration and methodology
Journal of medical imaging (Bellingham, Wash.), Vol.5(4), pp.045503-045503
10/2018
DOI: 10.1117/1.JMI.5.4.045503
PMCID: PMC6265604
PMID: 30525062
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.
Details
- Title: Subtitle
- Multireader sample size program for diagnostic studies: demonstration and methodology
- Creators
- Stephen L Hillis - , Departments of Radiology and Biostatistics, Iowa City, IowaKevin M Schartz - , Department of Radiology, Iowa City, Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of medical imaging (Bellingham, Wash.), Vol.5(4), pp.045503-045503
- Publisher
- Society of Photo-Optical Instrumentation Engineers
- DOI
- 10.1117/1.JMI.5.4.045503
- PMID
- 30525062
- PMCID
- PMC6265604
- ISSN
- 2329-4302
- eISSN
- 2329-4310
- Grant note
- R01EB013667; R01EB019967 / National Institute of Biomedical Imaging and Bioengineering
- Language
- English
- Date published
- 10/2018
- Academic Unit
- Radiology; Biostatistics
- Record Identifier
- 9984051524602771
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