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Cited by 949

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Best evidence synthesis: An intelligent alternative to meta-analysis

Open access
Slavin, Robert E.·1995·Journal of Clinical Epidemiology
DOI 10.1016/0895-4356(94)00097-a
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Abstract

Research review has long been one of the most important scholarly activities in all branches of science. While there is sometimes a single study so well-designed, well carried out, and difficult to replicate that its findings are accepted as conclusive, more often there are many studies on a given topic, no one of which clearly supersedes the others. These studies may be done by different investigators using different methods or different populations. They may arrive at different conclusions. When this is the case, there is a need for reviewers to carefully consider the evidence and to put forth conclusions or hypotheses about where the weight of the evidence lies.

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Metadata

Authors
Slavin, R. E.
Venue
Journal of Clinical Epidemiology
Publisher
Elsevier BV
Published
1995-01
Volume
48
Issue
1
Pages
9-18
ISSN
0895-4356 (ISSN-L)
DOI
10.1016/0895-4356(94)00097-a
OpenAlex
W2058723611
Cited by
949
References
4
FWCI
14.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Best evidence synthesis: An intelligent alternative to meta-analysis. https://app.cochat.ai/papers/10.1016/0895-4356(94)00097-a
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Slavin, R. E. (1995). Best evidence synthesis: An intelligent alternative to meta-analysis. Journal of Clinical Epidemiology. https://doi.org/10.1016/0895-4356(94)00097-a

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.