The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
A General Regression Methodology for ROC Curve Estimation
Abstract
A method for applying generalized ordinal regression models to categorical rating data to estimate and analyze receiver operating characteristic (ROC) curves is presented. These models permit parsimonious adjustment of ROC curve parameters for relevant covariates through two regression equations that correspond to location and scale. Particular shapes of ROC curves are interpreted in relation to the kind of covariates included in the two regressions. The model is shown to be flexible because it is not restricted to the assumption of binormality that is commonly employed in smoothed ROC curve estimation, although the binormal model is one particular form of the more general model. The new method provides a mechanism for pinpointing the effect that interobserver variability has on the ROC curve. It also allows for the adjustment of ROC curves for temporal variation and case mix, and provides a way to assess the incremental diagnostic value of a test. The new methodology is recommended because it substantially improves the ability to assess diagnostic tests using ROC curves. Key words: ROC curves; ordinal regression; technology assessment; diagnostic tests. (Med Decis Making 8:204-215, 1988)
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Cites
Signal detection theory and psychophysics
Ingleby, J. D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,509
Basic principles of ROC analysis
Metz, C. E. (1978) · Seminars in Nuclear Medicine · doi:10.1016/s0001-2998(78)80014-2 · Cited by 6,026
Regression Models for Ordinal Data
McCullagh, P. (1980) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1980.tb01109.x · Cited by 4,453
McCullagh, P., & Nelder, J. A. (1983) · Springer eBooks · doi:10.1007/978-1-4899-3244-0 · Cited by 1,980
ROC Methodology in Radiologic Imaging
METZ, C. E. (1986) · Investigative Radiology · doi:10.1097/00004424-198609000-00009 · Cited by 1,642
(1982) · Cited by 1,288
Dorfman, D. D., & Alf, E. (1969) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(69)90019-4 · Cited by 874
Probabilistic Sensitivity Analysis Using Monte Carlo Simulation: A Practical Approach
Doubilet, P., Begg, C. B., Weinstein, M. C., Braun, P., & McNeil, B. J. (1985) · Medical Decision Making · doi:10.1177/0272989x8500500205 · Cited by 860
Self-citationAssessment of diagnostic tests when disease verification is subject to selection bias
Begg, C. B., & Greenes, R. A. (1983) · Biometrics · doi:10.2307/2530820 · Cited by 708
Self-citationROC Analysis Applied to the Evaluation of Medical Imaging Techniques
SWETS, J. A. (1979) · Investigative Radiology · doi:10.1097/00004424-197903000-00002 · Cited by 699
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(2013) · Europe PMC (PubMed Central) · Cited by 2,089
Greiner, M., Pfeiffer, D., & Smith, R. D. (2000) · Preventive Veterinary Medicine · doi:10.1016/s0167-5877(00)00115-x · Cited by 1,923
A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluations
Rutter, C. M., & Gatsonis, C. A. (2001) · Statistics in Medicine · doi:10.1002/sim.942 · Cited by 1,505
The Efficacy of Diagnostic Imaging
Fryback, D. G., & Thornbury, J. R. (1991) · Medical Decision Making · doi:10.1177/0272989x9101100203 · Cited by 1,291
Conducting systematic reviews of diagnostic studies: didactic guidelines
Devillé, W. L., Buntinx, F., Bouter, L. M., Montori, V. M., de Vet, H. C., van der Windt, D. A., & Bezemer, P. D. (2002) · BMC Medical Research Methodology · doi:10.1186/1471-2288-2-9 · Cited by 960
Metadata
- Authors
- Tosteson, A. N. A., & Begg, C. B.
- Venue
- Medical Decision Making
- Publisher
- SAGE Publications
- Published
- 1988-08
- Volume
- 8
- Issue
- 3
- Pages
- 204-215
- ISSN
- 0272-989X (ISSN-L)
- 1552-681X
- OpenAlex
- W1997564410
- Cited by
- 272
- References
- 20
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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