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Based on random effects model, meta-analysis conducted on 1192 patients and 736 controls showed no association with IRSA under dominant DD+IDvsII) and recessive(DDvsID+II) genetic models.
Network meta-analysis based on random effects model estimating standardized mean difference (SMD) with 95% confidence interval (CI), compared the effects of the 3 classes of interventions with respect to usual care or placebo control conditions.
All based on random effects meta-analysis.
*Effect estimate and 95% CI estimated based on random effects model.
For completeness, we also display the full maps based on random effects analysis in the Supplemental Materials.
A pooled rate ratio was estimated for each category of injurious falls based on random effects models.
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The most popular metrics based on random effect ANOVA are ICC and WSMSS [8 12, 24, 25].
The effect rates of pooled prevalence estimates and 95% confidence intervals (CI) were determined based on random effect models.
In this study, we applied the FUBAR algorithm because it is more robust and much faster than selection analysis based on random effect likelihood (REL methods [ 80]).
All meta-analyses were based on random-effects models.
Pooled analyses were carried out for 23 studies, based on random-effects models.
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based on random photos
based on different effects
based on random interviews
based on thermoelectric effects
based on polarization effects
based on main effects
based on artificial effects
based on random collisions
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based on Total effects
based on random experiments
based on simultaneous effects
based on random walks
based on beneficial effects
based on possible effects
based on random techniques
based on educational effects
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