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