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For the analysis of the network's connections structure, we used the random graphs theory methods.
Owing to the significant heterogeneity among the enrolled studies, we used the random effects model.
The authors used the random variation in the rents of households to estimate the model.
Therefore, we primarily used the random effects model for our analyses.
We used the random waypoint mobility model as the node mobility pattern.
For the first step, we used the random forest algorithm with 10 terrain attributes.
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Otherwise we used the random-effects model.
We used the random-effects model due to heterogeneity.
We used the random-number generator in STATA to create sequential study assignment envelopes.
We used the random-effect or fixed-effect model for the meta-analysis according to the data analysis.
When p>0.10, the fixed-effects model was applied and otherwise we used the random-effects model.
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