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Cited by 141

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

In a meta-analysis, the I-squared statistic does not tell us how much the effect size varies

Borenstein, Michael·2022·Journal of Clinical Epidemiology

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Crossref · 10.1016/j.jclinepi.2022.10.003

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Research works printed but not linked: 7

  1. Higgins, 2002, Quantifying heterogeneity in a meta-analysis, Stat Med, 21, 1539, 10.1002/sim.1186 · DOI · Paper page
  2. Higgins, 2003, Measuring inconsistency in meta-analyses, BMJ, 327, 557, 10.1136/bmj.327.7414.557 · DOI · Paper page
  3. Sorita, 2014, Off-hour presentation and outcomes in patients with acute myocardial infarction: systematic review and meta-analysis, BMJ, 348, f7393, 10.1136/bmj.f7393 · DOI
  4. Holst, 2015, Restrictive versus liberal transfusion strategy for red blood cell transfusion: systematic review of randomised trials with meta-analysis and trial sequential analysis, BMJ, 350, h1354, 10.1136/bmj.h1354 · DOI
  5. Borenstein, 2020, Research note: in a meta-analysis, the I2 index does not tell us how much the effect size varies across studies, J Phys, 66, 135
  6. Higgins, 2008, Commentary: heterogeneity in meta-analysis should be expected and appropriately quantified, Int J Epidemiol, 37, 1158, 10.1093/ije/dyn204 · DOI · Paper page
  7. Bailar, 1997, The promise and problems of meta-analysis, N Engl J Med, 337, 559, 10.1056/NEJM199708213370810 · DOI

Cited by

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Metadata

Authors
Borenstein, M.
Venue
Journal of Clinical Epidemiology
Publisher
Elsevier BV
Published
2022-12
Volume
152
Pages
281-284
ISSN
0895-4356
Cited by
141
References
2
Language
en

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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