2015
DOI: 10.1016/j.jclinepi.2015.03.017
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Small studies are more heterogeneous than large ones: a meta-meta-analysis

Abstract: Heterogeneity between small studies is larger than between larger studies. The large imprecision with which τ is estimated in a typical small-studies' meta-analysis is another reason for concern, and sensitivity analyses are recommended.

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Cited by 224 publications
(165 citation statements)
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References 42 publications
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“…The present analyses, however, suggest this decline effect may be a result of low power and selective reporting: Cues that have rarely been reported will demonstrate wide variation in effect sizes, some of which will appear to be quite large because low-powered studies occasionally produce highly overestimated significant effects, which are more likely to be published than the nonsignificant effects that would attenuate the overestimates (IntHout et al, 2015). In contrast, cues that have been studied more extensively should better approximate the true effect.…”
Section: Trouble In the Land Of Toyscontrasting
confidence: 54%
“…The present analyses, however, suggest this decline effect may be a result of low power and selective reporting: Cues that have rarely been reported will demonstrate wide variation in effect sizes, some of which will appear to be quite large because low-powered studies occasionally produce highly overestimated significant effects, which are more likely to be published than the nonsignificant effects that would attenuate the overestimates (IntHout et al, 2015). In contrast, cues that have been studied more extensively should better approximate the true effect.…”
Section: Trouble In the Land Of Toyscontrasting
confidence: 54%
“…This, however, is an argument in favour of a meta-analysis strategy, since statistical power is greater and more subtle associations can be identified when results from multiple small studies can be combined in meta-analysis. Although small studies tend to be impacted by publication bias to a greater degree than larger studies [15, 43], we did not find evidence of that in this analysis. Selection bias may be present across all of the selected publications because HACT is often used as a supplementary treatment in relatively stable asthma, whereas patients with severe or difficult to control asthma may be excluded from such investigations.…”
Section: Discussioncontrasting
confidence: 75%
“…This subcategory is not used as standard in the assessment of bias in Cochrane Reviews, despite the increasing volume of research available suggesting that small studies of fewer than 100 participants per arm (Moore 2010; Nüesch 2010) are at increased risk of succumbing to the random effects in estimating both direction and magnitude of treatment effects (Moore 1998; Turner 2013) due to greater heterogeneity within and between small studies (IntHout 2015). …”
Section: Discussionmentioning
confidence: 99%