Literature DB >> 28890592

Demonstration of Multi- and Single-Reader Sample Size Program for Diagnostic Studies software.

Stephen L Hillis1, Kevin M Schartz1.   

Abstract

The recently released software Multi- and Single-Reader Sample Size 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 modalities, when using the analysis methods initially proposed by Dorfman, Berbaum, and Metz (DBM) and Obuchowski and Rockette (OR), 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 can be used with typical common reader-performance measures which can be estimated parametrically or nonparametrically. The program has an easy-to-use step-by-step intuitive interface that walks the user through the entry of the needed information. Features of the software include the following: (1) choice of several study designs; (2) choice of inputs obtained from either OR or DBM analyses; (3) choice of three different inference situations: both readers and cases random, readers fixed and cases random, and readers random and cases fixed; (4) choice of two types of hypotheses: equivalence or noninferiority; (6) choice of two output formats: power for specified case and reader sample sizes, or a listing of case-reader combinations that provide a specified power; (7) choice of single or multi-reader analyses; and (8) functionality in Windows, Mac OS, and Linux.

Entities:  

Keywords:  Dorfman-Berbaum-Metz; MRMC; Obuchowski-Rockette; diagnostic radiology; multi-reader; power; reader performance; sample size estimation

Year:  2015        PMID: 28890592      PMCID: PMC5589343          DOI: 10.1117/12.2083150

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  11 in total

1.  Data analysis for detection and localization of multiple abnormalities with application to mammography.

Authors:  N A Obuchowski; M L Lieber; K A Powell
Journal:  Acad Radiol       Date:  2000-07       Impact factor: 3.173

2.  Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method.

Authors:  D D Dorfman; K S Berbaum; C E Metz
Journal:  Invest Radiol       Date:  1992-09       Impact factor: 6.016

3.  Observer studies involving detection and localization: modeling, analysis, and validation.

Authors:  Dev P Chakraborty; Kevin S Berbaum
Journal:  Med Phys       Date:  2004-08       Impact factor: 4.071

4.  Hypothesis testing in noninferiority and equivalence MRMC ROC studies.

Authors:  Weijie Chen; Nicholas A Petrick; Berkman Sahiner
Journal:  Acad Radiol       Date:  2012-06-19       Impact factor: 3.173

5.  A comparison of the Dorfman-Berbaum-Metz and Obuchowski-Rockette methods for receiver operating characteristic (ROC) data.

Authors:  Stephen L Hillis; Nancy A Obuchowski; Kevin M Schartz; Kevin S Berbaum
Journal:  Stat Med       Date:  2005-05-30       Impact factor: 2.373

6.  A comparison of denominator degrees of freedom methods for multiple observer ROC analysis.

Authors:  Stephen L Hillis
Journal:  Stat Med       Date:  2007-02-10       Impact factor: 2.373

7.  Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis.

Authors:  Stephen L Hillis; Kevin S Berbaum; Charles E Metz
Journal:  Acad Radiol       Date:  2008-05       Impact factor: 3.173

8.  Monte Carlo validation of a multireader method for receiver operating characteristic discrete rating data: factorial experimental design.

Authors:  D D Dorfman; K S Berbaum; R V Lenth; Y F Chen; B A Donaghy
Journal:  Acad Radiol       Date:  1998-09       Impact factor: 3.173

9.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

Authors:  E R DeLong; D M DeLong; D L Clarke-Pearson
Journal:  Biometrics       Date:  1988-09       Impact factor: 2.571

10.  A marginal-mean ANOVA approach for analyzing multireader multicase radiological imaging data.

Authors:  Stephen L Hillis
Journal:  Stat Med       Date:  2013-08-23       Impact factor: 2.373

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  2 in total

1.  Relationship between Roe and Metz simulation model for multireader diagnostic data and Obuchowski-Rockette model parameters.

Authors:  Stephen L Hillis
Journal:  Stat Med       Date:  2018-04-02       Impact factor: 2.373

2.  Multireader sample size program for diagnostic studies: demonstration and methodology.

Authors:  Stephen L Hillis; Kevin M Schartz
Journal:  J Med Imaging (Bellingham)       Date:  2018-11-30
  2 in total

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