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We used a fixed effect model when no heterogeneity existed.
Our network meta-analysis of published data used a fixed effect model.
Not taking into account the specific method of the meta-analysis, 74/166 (44.6%) used a fixed effect model.
We considered that 20 reviews (33%), 16 of which had used a fixed effect model, had major problems.
The Cure et al 23 and Kieran et al 24 papers both used a fixed effect model for all analyses.
Initial meta-analyses used a fixed effect model [ 43] to provide an overall pooled measure of effect.
Similar(41)
Our analysis used a fixed effects meta-analysis using the generalised inverse variance method.
Therefore, we assumed that the effect was the same across studies and used a fixed effects model.
Gouvas et al and Wind et al used random effects models for their main meta-analysis, while Walter et al used a fixed effects model.
As there are potentially unobserved confounders that vary between local authorities, we used a fixed effects approach to remove these differences between local authorities.
We performed the meta-analysis with two software: METAL25 using a fixed effect model and METASOFT26 for those SNPs where heterogeneity occurred (I2 > 25) using a random effect model.
More suggestions(15)
used a fixed fever
used a fixed relay
used a talkboxlike effect
used a fixed slice
used a shortening effect
used a fixed address
used a fixed protocol
used a fixed radius
used a fixed clock
used a fixed outcome
used a rigorous effect
used a fixed detection
used a fixed coefficient
used a fixed density
used a fixed cost
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