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