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WSCV, which also ensues for random effect ANOVA model, is only rarely reported in test-retest studies in PET brain imaging [11].
The results for individuals were then entered into the second level for random effect analysis.
After estimation, betas were taken to the second level for random effect analysis to identify which brain areas were preferentially activated novel intentions in comparison with repeated intentions (novel intentions > repeated intentions).
* Prevalence adjusted for random effect.
† Prevalence adjusted for random effect and weighted by regions.
* Adjusted for random effect and age weighted by age groups and regions.
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Within the mixed-effects model framework, variance components are calculated only for random effects and not for fixed effects.
Variability between and within subjects was estimated by using analysis of variance for random effects.
First, we present the results of experiments showing the reasons for random effects in Wireless Sensor Network (WSN) functioning.
For random effects, the standard deviation is reported.
We used the DerSimonian and Laird model for random effects to obtain summary estimates across studies.
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