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Heterogeneity in Meta-analysis of Data from Epidemiologic Studies: A Commentary
Abstract
Graham A. Colditz, Elisabeth Burdick, Frederick Mosteller; Heterogeneity in Meta-analysis of Data from Epidemiologic Studies: A Commentary, American Journal of
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In the citing paper
“Two articles recommended stratifying by study design if heterogeneity is large and adjusting for study design if heterogeneity is small [51, 77].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“The majority of articles advised against the use of scales but 12 articles recommended their use [29, 30, 48–50, 52, 53, 56, 66, 77, 86, 91].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“Some authors agreed that study design should be investigated as a potential source of between study heterogeneity [8, 34, 42, 77], and others recommended presenting meta-analyses for each study type alongside results from an overall meta-analysis [42, 83].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“One common recommendation was to explore heterogeneity in sensitivity analyses, comparing studies stratified by design or clinical features [12, 16, 29, 34, 39, 51, 55, 56, 66, 77, 85, 100, 102].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“Many recommended to define these subgroups a priori to reduce the risk of false positive findings [33, 52, 77, 106].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“This approach was, however, often criticised because of low power to detect heterogeneity in case of few (< 10) included studies [52, 77, 101, 104, 116, 118].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“Second, the use of a random-effects model for meta-analysis of observational studies by default was frequently recommended [8, 16, 29, 34, 70, 77, 100, 101].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [77]
In the citing paper
“A common misinterpretation of the random-effects assumption is that the studies themselves are sampled from a population of studies (Hedges, 1987; Anello and Fleiss, 1995; Colditz et al., 1995).”
From A Re-Evaluation of Random-Effects Meta-Analysis (2009) · cites this paper as Colditz et al., 1995
In the citing paper
“This implies that the types of participants, natures of exposures, design aspects, and so on, are randomly selected from a distribution of possibilities, which is an inappropriate interpretation because studies are individually designed dependent on the results of previous studies (Peto, 1987) and the evolutionary process of scientific research (Colditz et al., 1995).”
From A Re-Evaluation of Random-Effects Meta-Analysis (2009) · cites this paper as Colditz et al., 1995
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Metadata
- Authors
- Colditz, G. A., Burdick, E., & Mosteller, F.
- Affiliations
- Harvard University (US)
- Corresponding author
- Colditz, Graham A.
- ORCID
- Colditz, Graham A.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1995-08-15
- Volume
- 142
- Issue
- 4
- Pages
- 371-382
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2269058722
- Cited by
- 245
- References
- 52
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 10 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 12 · 2016: 8 · 2015: 10 · 2014: 12 · 2013: 7 · 2012: 8
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (HS05936)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- heterogeneity, meta-analysis, epidemiological studies, study heterogeneity, pooled estimates
- MeSH terms
- Epidemiologic Methods, Models, Theoretical, Meta-Analysis as Topic
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