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Each "burst" has a random center and a random width, and each source amplitude has 1 to 5 such "bursts".
The performance of BeeRBF was compared with that of k-means, random center selection and some other proposals from the literature.
Univariable hierarchical logistic models with two levels (random center and region effects) were used to select variables associated with resistance using a p value threshold of 0.2.
Estimation by logistic regression with random center effect.
For both approaches random center effects are taken into account.
To test the performance of SEED, we generated 1000 random center sequences.
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The association between MD, adult weight gain and fat distribution was evaluated by using ordinal logistic models with random center-specific intercepts [ 27].
Association between waist-to-hip ratio, adult weight gain (difference between current weight and self-reported weight at 18 years) and MD was quantified by ordinal logistic regression, with random center-specific intercepts.
K-means clustering involves initially selecting "k" random centers in parameter space and assigning genes to clusters based on their distance to the nearest center.
Various modeling possibilities are shown in [4], including stratified and frailty survival models with simultaneous estimation of variances for two random effects, center and interaction of treatment by center.
The main analysis, which included a random study center intercept to adjust for the clustering within city, focused on predicted outdoor NO2 exposure at the home address es) only, while we assessed time spent away from home, daycare attendance, and infiltration in sensitivity analyses.
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