The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
The use of “overall accuracy” to evaluate the validity of screening or diagnostic tests
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Citations
Cites
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
Epidemiology: Beyond the Basics
Szklo, M., & Nieto, F. J. (1999) · Cited by 1,441
Beyond Normality: The Predictive Value and Efficiency of Medical Diagnoses.
(1977) · Annals of Internal Medicine · doi:10.7326/0003-4819-86-4-513_1 · Cited by 1,370
Epidemiology: Beyond the Basics
Szklo, M. (2001) · American Journal of Epidemiology · doi:10.1093/aje/153.8.821 · Cited by 1,310
Flamen, P., Lerut, A., Van Cutsem, E., De Wever, W., Peeters, M., Stroobants, S., Dupont, P., Bormans, G., Hiele, M., De Leyn, P., et al. (2000) · Journal of Clinical Oncology · doi:10.1200/jco.2000.18.18.3202 · Cited by 571
Uses and abuses of screening tests
Grimes, D. A., & Schulz, K. F. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07948-5 · Cited by 545
Biases in the assessment of diagnostic tests
Begg, C. B. (1987) · Statistics in Medicine · doi:10.1002/sim.4780060402 · Cited by 496
The interpretation of diagnostic tests
Shapiro, D. E. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800203 · Cited by 383
The Harriet Lane Handbook. A Manual for Pediatric House Officers.
(1979) · Annals of Internal Medicine · doi:10.7326/0003-4819-90-5-869_7 · Cited by 215
Update of Breast MR Imaging Architectural Interpretation Model
Nunes, L. W., Schnall, M. D., & Orel, S. G. (2001) · Radiology · doi:10.1148/radiology.219.2.r01ma44484 · Cited by 208
Cited by
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Arbabshirani, M. R., Plis, S., Sui, J., & Calhoun, V. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.079 · Cited by 912
Statistical Evaluation of a Biomarker
Ray, P., Manach, Y. L., Riou, B., Houle, T. T., & Warner, D. S. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181d47604 · Cited by 503
Machine learning in major depression: from classification to treatment outcome prediction
Gao, S., Calhoun, V. D., & Sui, J. (2018) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13048 · Cited by 370
A systematic review classifies sources of bias and variation in diagnostic test accuracy studies
Whiting, P. F., Rutjes, A. W. S., Westwood, M. E., & Mallett, S. (2013) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.05.014 · Cited by 283
Validation of the AUDIT-C in adults seeking help with their drinking online
Khadjesari, Z., White, I. R., McCambridge, J., Marston, L., Wallace, P., Godfrey, C., & Murray, E. (2017) · Addiction Science & Clinical Practice · doi:10.1186/s13722-016-0066-5 · Cited by 106
Metadata
- Authors
- Alberg, A. J., Park, J. W., Hager, B. W., Brock, M. V., & Diener-West, M.
- Venue
- Journal of General Internal Medicine
- Published
- 2004-05
- Volume
- 19
- Issue
- 5
- Pages
- 460-465
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- OpenAlex
- W2069890151
- Cited by
- 295
- References
- 21
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Alberg, A. J., Park, J. W., Hager, B. W., Brock, M. V., & Diener-West, M. (2004). The use of “overall accuracy” to evaluate the validity of screening or diagnostic tests. Journal of General Internal Medicine. https://doi.org/10.1111/j.1525-1497.2004.30091.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
