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Where studies are heterogeneous it is more appropriate to use a random effect model [15].
Heterogeneity between studies was large (P < 0.00001, I 2 = 84 > 25%), we should use a random effect model.
If P > 0.1 and I 2 < 50%, there was determined to be little heterogeneity between studies, then we used a fixed effect model, otherwise we should use a random effect model.
Similar(57)
Therefore, we decided a priori to use a random effects meta-analysis approach.
The individual subject data of the localizer scans were incorporated into a group-level analysis using a random effect model.
Meta-analysis was completed using a random effect meta-analysis.
A mixed model, using a random effect for participant, will be used to analyse the data.
We used a random effect on inspections batches around a reporting house.
We used a random effect model and explored for sources of inconsistency (I) and heterogeneity.
Longitudinal changes in WBCs were evaluated using a random effect model.
Data were analysed using a random effect procedure (Friston et al., 1999).
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