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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 access
Pearce, Neil·2016·BMJ

Abstract

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.

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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

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CoChat. (2026). Citation check: Analysis of matched case-control studies. https://app.cochat.ai/papers/10.1136/bmj.i969
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Pearce, N. (2016). Analysis of matched case-control studies. BMJ. https://doi.org/10.1136/bmj.i969

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