испанский
modelo de efectos fijos Синонимы
Examples for "random effects model"
Examples for "random effects model"
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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.
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.
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.
6
Pooled estimates of overall treatment effect were calculated using a random effects model.
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Results: We identified six papers with sufficient data for a random effects meta-analysis.
8
Where data allowed, we performed meta-analysis and pooled results using random effects models.
9
The results were analysed using the intention-to-treat principle and linear random effects modelling.
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Subsequently, random effects meta-analysis was used to pool the interaction terms.
11
The additive genetic, permanent environmental and residual effects were included as random effects.
12
We then produced pooled estimates across studies using random effects meta-analyses.
13
Bias is reduced by including sufficient between-study random effects in the imputation model.
14
Summary relative risks were estimated by the use of a random effects model.
15
These models often assume that the random effects are normally distributed.
16
Median values were obtained for each estimate using random effects meta-analysis.
