The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A unification of models for meta-analysis of diagnostic accuracy studies
Abstract
Studies of diagnostic accuracy require more sophisticated methods for their meta-analysis than studies of therapeutic interventions. A number of different, and apparently divergent, methods for meta-analysis of diagnostic studies have been proposed, including two alternative approaches that are statistically rigorous and allow for between-study variability: the hierarchical summary receiver operating characteristic (ROC) model (Rutter and Gatsonis, 2001) and bivariate random-effects meta-analysis (van Houwelingen and others, 1993), (van Houwelingen and others, 2002), (Reitsma and others, 2005). We show that these two models are very closely related, and define the circumstances in which they are identical. We discuss the different forms of summary model output suggested by the two approaches, including summary ROC curves, summary points, confidence regions, and prediction regions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Whiting, P., Rutjes, A. W., Reitsma, J. B., Bossuyt, P. M., & Kleijnen, J. (2003) · BMC Medical Research Methodology · doi:10.1186/1471-2288-3-25 · Cited by 3,592
Self-citationReitsma, J. B., Glas, A. S., Rutjes, A. W. S., Scholten, R. J. P. M., Bossuyt, P. M., & Zwinderman, A. H. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.02.022 · Cited by 3,369 · cited 5×
“Several statistical methods for meta-analysis of data from diagnostic test accuracy studies have been proposed (Moses et al., 1993; Rutter and Gatsonis, 2001; Dukic and Gatsonis, 2003; Siadaty and Shu, 2004; Reitsma et al., 2005).”
BackgroundMethodInfluentialTowards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · BMJ · doi:10.1136/bmj.326.7379.41 · Cited by 3,215
Towards Complete and Accurate Reporting of Studies of Diagnostic Accuracy: The STARD Initiative
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003) · Radiology · doi:10.1148/radiol.2261021292 · Cited by 3,215
Empirical evidence of design-related bias in studies of diagnostic tests.
Lijmer, J. G. (1999) · JAMA · doi:10.1001/jama.282.11.1061 · Cited by 1,861
A bivariate approach to meta-analysis
Van Houwelingen, H. C., Zwinderman, K. H., & Stijnen, T. (1993) · Statistics in Medicine · doi:10.1002/sim.4780122405 · Cited by 327
Cited by
Plummer, F., Manea, L., Trepel, D., & McMillan, D. (2016) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2015.11.005 · Cited by 1,882
Moons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1377 · Cited by 1,669
Self-citationSystematic Reviews of Diagnostic Test Accuracy
Leeflang, M. M. G., Deeks, J. J., Gatsonis, C., & Bossuyt, P. M. M. (2008) · Annals of Internal Medicine · doi:10.7326/0003-4819-149-12-200812160-00008 · Cited by 1,124
Self-citationArbyn, M., Smith, S. B., Temin, S., Sultana, F., & Castle, P. (2018) · BMJ · doi:10.1136/bmj.k4823 · Cited by 851
Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy
(2023) · doi:10.1002/9781119756194 · Cited by 757
Metadata
- Authors
- Harbord, R. M., Deeks, J. J., Egger, M., Whiting, P., & Sterne, J. A. C.
- Venue
- Biostatistics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-05-11
- Volume
- 8
- Issue
- 2
- Pages
- 239-251
- ISSN
- 1465-4644 (ISSN-L)
- 1468-4357
- OpenAlex
- W2116308061
- Cited by
- 751
- References
- 6
- FWCI
- 8.30
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A unification of models for meta-analysis of diagnostic accuracy studies. https://app.cochat.ai/papers/10.1093/biostatistics/kxl004
- The paper
- Harbord, R. M., Deeks, J. J., Egger, M., Whiting, P., & Sterne, J. A. C. (2007). A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics. https://doi.org/10.1093/biostatistics/kxl004
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.