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We undertake that the structure of correlated linear profiles simultaneously has both random and fixed effects.
Each parameter corresponds to the predicted value for each individual, using both random and fixed estimates.
For each meta-analysis we ran a test of heterogeneity (I2 index) and applied both random and fixed effects models.
Both random and fixed effects models were run.
Initial sensitivity analyses included repeating all meta-analyses using both random and fixed effect models.
In unselected primary care patients there was no benefit from nursing interventions (using both random and fixed effects models).
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Both random and fixed-effects models were evaluated.
In Figure 4, we compare the convergence rates of the third-order DAC algorithm with the first- and second-order DAC algorithms for both the random and fixed network topologies.
By running both the random and fixed effects models, the study takes advantage of each model's merits.
Both random and conditional fixed effects were estimated, and we report the results for the random effects analysis.
For all models, both random effects and fixed effects models were estimated.
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