The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Analysis of matched case-control studies
Open accessAbstract
There are two common misconceptions about case-control studies: that matching in itself eliminates (controls) confounding by the matching factors, and that if matching has been performed, then a “matched analysis” is required. However, matching in a case-control study does not control for confounding by the matching factors; in fact it can introduce confounding by the matching factors even when it did not exist in the source population. Thus, a matched design may require controlling for the matching factors in the analysis. However, it is not the case that a matched design requires a matched analysis. Provided that there are no problems of sparse data, control for the matching factors can be obtained, with no loss of validity and a possible increase in precision, using a “standard” (unconditional) analysis, and a “matched” (conditional) analysis may not be required or appropriate.
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
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Statistical Methods in Cancer Research
Breslow, N. E. (1980) · Cited by 7,332
Statistical methods in cancer research. Volume I - The analysis of case-control studies.
Breslow, N. E., & Day, N. E. (1980) · PubMed · Cited by 4,988
Epidemiologic Research: Principles and Quantitative Methods.
Mayer, L. S., Kleinbaum, D. G., Kupper, L. L., & Morgenstern, H. (1984) · Journal of the American Statistical Association · doi:10.2307/2288427 · Cited by 2,905
A structural approach to selection bias
Hernán, M. A., Hernández-Díaz, S., & Robins, J. M. (2004) · Epidemiology · doi:10.1097/01.ede.0000135174.63482.43 · Cited by 2,844
Rothman, K. J., Greenland, S., & Lash, T. L. (1998) · Cited by 2,096
Epidemiology: Principles and Methods
MacMahon, B., & Pugh, T. F. (1970) · Cited by 1,472
(1977) · Annals of Internal Medicine · doi:10.7326/0003-4819-86-6-835_3 · Cited by 1,155
Vandenbroucke, J. P., Koster, T., Rosendaal, F. R., Briët, E., Reitsma, P. H., & Bertina, R. M. (1994) · The Lancet · doi:10.1016/s0140-6736(94)90286-0 · Cited by 1,063
Schottenfeld, D. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf028 · Cited by 622
Cited by
Waning of BNT162b2 Vaccine Protection against SARS-CoV-2 Infection in Qatar
Chemaitelly, H., Tang, P., Hasan, M. R., AlMukdad, S., Yassine, H. M., Benslimane, F. M., Al Khatib, H. A., Coyle, P., Ayoub, H. H., Al Kanaani, Z., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2114114 · Cited by 831
Fan, X., Alekseyenko, A. V., Wu, J., Peters, B. A., Jacobs, E. J., Gapstur, S. M., Purdue, M. P., Abnet, C. C., Stolzenberg-Solomon, R., Miller, G., et al. (2018) · Gut · doi:10.1136/gutjnl-2016-312580 · Cited by 702
BNT162b2 and mRNA-1273 COVID-19 vaccine effectiveness against the SARS-CoV-2 Delta variant in Qatar
Tang, P., Hasan, M. R., Chemaitelly, H., Yassine, H. M., Benslimane, F. M., Al Khatib, H. A., AlMukdad, S., Coyle, P., Ayoub, H. H., Al Kanaani, Z., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01583-4 · Cited by 450
Protection against the Omicron Variant from Previous SARS-CoV-2 Infection
Altarawneh, H. N., Chemaitelly, H., Hasan, M. R., Ayoub, H. H., Qassim, S., AlMukdad, S., Coyle, P., Yassine, H. M., Al-Khatib, H. A., Benslimane, F. M., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmc2200133 · Cited by 445
Carreira, H., Williams, R., Müller, M., Harewood, R., Stanway, S., & Bhaskaran, K. (2018) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djy177 · Cited by 416
Metadata
- Authors
- Pearce, N.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2016-02-25
- Volume
- 352
- Pages
- i969
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W2281397941
- Cited by
- 771
- References
- 20
- FWCI
- 62.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Analysis of matched case-control studies. https://app.cochat.ai/papers/10.1136/bmj.i969
- The paper
- Pearce, N. (2016). Analysis of matched case-control studies. BMJ. https://doi.org/10.1136/bmj.i969
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.