Literature DB >> 15685718

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

Stephen L Hillis1, Nancy A Obuchowski, Kevin M Schartz, Kevin S Berbaum.   

Abstract

There are several different statistical methods for analysing multireader ROC studies, with the Dorfman-Berbaum-Metz (DBM) method being the most frequently used. Another method is the corrected F method proposed by Obuchowski and Rockette (OR). The DBM and OR procedures at first appear quite different: DBM is a three-way ANOVA analysis of pseudovalues while OR is a two-way ANOVA analysis of accuracy estimates with correlated errors. We show that the original DBM and OR F statistics for testing the null hypothesis of equal treatments have the same form and will typically have similar values; however, differences in the denominator degrees of freedom will result in differences in p-values even when the F statistics are identical. We show how the methods can be generalized to include variations in the accuracy measure, covariance method, and degrees of freedom. Identical results are obtained when the methods agree with respect to all three of these procedure parameters; hence for a particular choice of procedure parameters the choice of method appears to depend mainly on software preference and availability. The methods are compared using data from a factorial study with two modalities, five readers, and 114 patients.

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Year:  2005        PMID: 15685718     DOI: 10.1002/sim.2024

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  49 in total

1.  The effects of ambient lighting in chest radiology reading rooms.

Authors:  Benjamin J Pollard; Ehsan Samei; Amarpreet S Chawla; Craig Beam; Laura E Heyneman; Lynne M Hurwitz Koweek; Santiago Martinez-Jimenez; Lacey Washington; Noriyuki Hashimoto; H Page McAdams
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

2.  Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images.

Authors:  Milica Medved; Xiaobing Fan; Hiroyuki Abe; Gillian M Newstead; Abbie M Wood; Akiko Shimauchi; Kirti Kulkarni; Marko K Ivancevic; Lorenzo L Pesce; Olufunmilayo I Olopade; Gregory S Karczmar
Journal:  Acad Radiol       Date:  2011-10-01       Impact factor: 3.173

Review 3.  ROC analysis in medical imaging: a tutorial review of the literature.

Authors:  Charles E Metz
Journal:  Radiol Phys Technol       Date:  2007-10-27

4.  Channelized Hotelling observer correlation with human observers for low-contrast detection in liver CT images.

Authors:  Alexandre Ba; Craig K Abbey; Damien Racine; Anaïs Viry; Francis R Verdun; Sabine Schmidt; François O Bochud
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-20

5.  Monte Carlo validation of the Dorfman-Berbaum-Metz method using normalized pseudovalues and less data-based model simplification.

Authors:  Stephen L Hillis; Kevin S Berbaum
Journal:  Acad Radiol       Date:  2005-12       Impact factor: 3.173

6.  Verification of DICOM GSDF in complex backgrounds.

Authors:  David L Leong; Louise Rainford; Tamara Miner Haygood; Gary J Whitman; Philip M Tchou; William R Geiser; Selin Carkaci; Patrick C Brennan
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

7.  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

8.  Comparison of slot scanning digital mammography system with full-field digital mammography system.

Authors:  Chao-Jen Lai; Chris C Shaw; William Geiser; Lingyun Chen; Elsa Arribas; Tanya Stephens; Paul L Davis; Geetha P Ayyar; Basak E Dogan; Victoria A Nguyen; Gary J Whitman; Wei T Yang
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

9.  Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images.

Authors:  K Yamashita; T Yoshiura; H Arimura; F Mihara; T Noguchi; A Hiwatashi; O Togao; Y Yamashita; T Shono; S Kumazawa; Y Higashida; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-03       Impact factor: 3.825

Review 10.  A brief history of free-response receiver operating characteristic paradigm data analysis.

Authors:  Dev P Chakraborty
Journal:  Acad Radiol       Date:  2013-04-12       Impact factor: 3.173

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