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These differences may explain heterogeneity across groups in the correlation between diversity and well-being.
Stratified analyses were performed to explore factors that may explain heterogeneity between studies.
Extending network meta-analysis models with treatment-by-covariate interactions may explain heterogeneity in relative treatment effects.
Well-conducted meta-analyses allow for an objective appraisal of the evidence, provide a precise estimate of a treatment effect, and may explain heterogeneity between the results of individual studies.
Potency differences between chrysotile and amphiboles have received much attention in risk assessments for asbestos and may explain heterogeneity in exposure response estimates between studies (Berman and Crump 2008a; Hodgson and Darnton 2000; Mossman et al. 1990; Nicholson 1991).
In the dipstick meta-analysis we hypothesised that the following factors may explain heterogeneity if present: procedures of collection of material for the test (method of urine collection, delay between urine collection and culture), who was executing the test and how (manually or automatic), and different brands of commercial products.
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Otherwise, the results of the meta-analysis may inadequately explain heterogeneity in the included trials due to confounding by the differential presence of undetected or unlabelled components in certain component combinations instead of others, or the presence of effect modifiers that could meaningfully explain heterogeneity.
Involvement of soluble signaling mediators, such as ATP and/or its metabolites, may also explain heterogeneity of individual [Ca2+]i responses to bradykinin within a cell population; confocal microscopy studies showed that some cells displayed no plateau phase whereas others were not noticeably affected by bradykinin removal and continued to respond for a few minutes (see Figure 1C).
In contrast, a components-based model may more adequately explain heterogeneity in the included interventions, but may say little about the interventional mechanisms at play and may thus be of lesser utility.
In general there is considerable heterogeneity between the studies and between subgroups; methodological diversity between studies may explain the heterogeneity.
In addition, factors that may explain the heterogeneity of responses were not available.
More suggestions(15)
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may address heterogeneity
may cause heterogeneity
may reveal heterogeneity
may obscure heterogeneity
may reflect heterogeneity
may equalize heterogeneity
may increase heterogeneity
may explain something
may be heterogeneity
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