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Another key difference between studies based on physical interventions and biobank research is that it is inherent in the nature of a biobank that the use of the samples is not tied to delimited start and end times of a particular piece of research.
Comparisons between studies based on setting are drawn where appropriate in the discussion.
Scoping studies do not discriminate between studies based on methodological criteria [ 66].
Imputed GRM genetic relationships between individuals are estimated within studies as well as between studies based on all Illumina and Affymetrix SNPs.
The underlying assumption of a random effects model is that the true effect could vary between studies, based on characteristics of the study population or intervention.
We could discern little difference between studies based on analysis method, except that those studies which did not state their analysis method contributed very little to the synthesis [ 5, 33].
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A fixed-effects model was used if there was no evidence of heterogeneity between the studies, based on the chi-square test for heterogeneity (DerSimonian and Laird 1986).
An alternative strategy would be to conduct between-tissue expression studies based on samples from the same individuals.
Standardized and valid coding strategies for severe sepsis are needed to ensure comparability between epidemiological and intervention studies based on administrative data.
There was no evidence of differences between large and small studies based on Eggar's test (p = 0.44) and visual inspection of funnel plots.
Restricting the meta-analysis to the three studies based on Caucasians, between-study heterogeneity was less evident (Cochran's Q=3.1, P=0.21, I 2 =35%).
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