Type of statistical model.
1 A random effects model was used to process the data for analysis.
2 Therefore, to account for residual heterogeneity, a random effects model was estimated.
3 Meta-analysis of perioperative outcome measures was carried out using a random effects model .
4 Pooled estimates of overall treatment effect were calculated using a random effects model .
5 Summary relative risks were estimated by the use of a random effects model .
6 Statistical analyses were performed using the random effects model after testing for heterogeneity.
7 Voxel-wise analyses were performed using a random effects model in SPM99.
8 A random effects model was chosen to synthesize the effect sizes of individual studies.
9 A random effects model was used to obtain summary estimates.
10 After full text review, data were abstracted and pooled using a random effects model .
11 A random effects model was used and between studies heterogeneity was estimated with I2.
12 Data synthesis was performed using restricted maximum-likelihood random effects model .
13 The data were pooled using the DerSimonian-Laird random effects model .
14 Summary estimates of sensitivity and specificity were calculated using a bivariate random effects model .
15 Subgroup analyses were conducted according to a random effects model .
16 Data were extracted by 2 independent investigators and aggregated in a random effects model .
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