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Longitudinal outcomes were analyzed using random effect regression models.
The performance of the method is analyzed using random matrix theory and information theory.
All outcomes will be analyzed using random effects models accounting for clustering of subjects within physicians' practices.
A wide range of road geometric, traffic and built environmental variables along with user-perceived ratings was analyzed using random forest technique.
The complex conductivity spectra have been measured in the frequency range of 0.01 Hz–2 MHz and analyzed using random barrier model.
In this paper, cooperative relay networks with large numbers of nodes are analyzed, and in particular the asymptotic performance improvement of cooperative transmission over direction transmission and relay transmission is analyzed using random matrix theory.
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The data were analyzed using random-effects models to account for the repeated TTO measures.
Process-related outcomes were either binary or continuous and were analyzed using random-effects logistic regression models or linear-mixed models, respectively, to include a hospital random-effect term.
Given significant heterogeneity in duration of follow-up and study comparators, only trials greater than 3 months comparing allopurinol and inactive control were meta-analyzed using random effects models.
Furthermore, spatial properties of skin regions were analyzed using conditional random fields [56] and cellular automata [49].
Whole-brain activity was measured using event-related functional magnetic resonance imaging and analyzed using a random effects model.
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