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Significats de random effects model en anglès
espanyol
modelo de efectos fijos Sinònims
Examples for "random effects"
Examples for "random effects"
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
Fixed or random effects models were adopted to estimate overall relative risk.
4
Group differences in mental health outcomes were assessed using random effects meta-analyses.
5
Meta-analysis of perioperative outcome measures was carried out using a random effects model.
1
Weighted mean differences in BP were estimated using random effect models.
2
Mean levels were log-transformed, and their differences were pooled with random effect models.
3
Mixed models were fitted in SPSS with genetic relatedness as a random effect.
4
Pooled results were presented with geometric means ratios and analysed with random effect models.
5
The pooled HPV prevalence was calculated by the random effect model described by DerSimonian-Laird.
Ús de random effects model en anglès
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.