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Titolo:
Continuous versus categorical data for ROC analysis: Some quantitative considerations
Autore:
Wagner, RF; Beiden, SV; Metz, CE;
Indirizzi:
US FDA, Ctr Devices & Radiol Hlth, Off Sci & Technol, Rockville, MD 20857 USA US FDA Rockville MD USA 20857 Off Sci & Technol, Rockville, MD 20857 USA Univ Chicago, Dept Radiol, Kurt Rossmann Labs, Chicago, IL 60637 USA Univ Chicago Chicago IL USA 60637 rt Rossmann Labs, Chicago, IL 60637 USA
Titolo Testata:
ACADEMIC RADIOLOGY
fascicolo: 4, volume: 8, anno: 2001,
pagine: 328 - 334
SICI:
1076-6332(200104)8:4<328:CVCDFR>2.0.ZU;2-H
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONTAMINATED BINORMAL MODEL; OPERATING CHARACTERISTIC ANALYSIS; MAXIMUM-LIKELIHOOD-ESTIMATION; EXPERIMENTAL-DESIGN; RATING DATA; CURVES; MULTIREADER; VALIDATION; DEGENERACY; SIZE;
Keywords:
diagnostic radiology, observer performance; receiver operating characteristic curve (ROC);
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Wagner, RF US FDA, Ctr Devices & Radiol Hlth, Off Sci & Technol, HFZ-142, Rockville, MD 20857 USA US FDA HFZ-142 Rockville MD USA 20857 , Rockville, MD 20857 USA
Citazione:
R.F. Wagner et al., "Continuous versus categorical data for ROC analysis: Some quantitative considerations", ACAD RADIOL, 8(4), 2001, pp. 328-334

Abstract

Rationale and Objectives. Several authors have encouraged the use of a quasi-continuous rating scale for data collection in receiver operating characteristic (ROC) curve analysis of diagnostic modalities, rather than rating scales based on five to seven ordinal categories or levels of suspicion. Although many investigators have gone over to this method, a discussion of the issues continues. The present work provides a quantitative analysis from the viewpoint of measurement science. Materials and Methods. A simple model of the effect of data discretizationor quantization on the measurement of the variance of noisy data was developed. Then Monte Carlo simulations of multiple-reader. multiple-case ROC experiments were performed and analyzed in terms of components-of-variance models to investigate the effect of data quantization in that more complex setting. Results. For single-reader studies, discretization into five categories can reduce the precision of ROC measurements by a large amount, The effect may be attenuated in multireader studies. Conclusion, More precise measurements of diagnostic detection performance and thus more efficient use of resources are served by good measurement methods. These are promoted by the use of a quasi-continuous raring scale in ROC studies.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 10/07/20 alle ore 15:26:53