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For the study of synchronization we have used a multivariate, frequency independent method derived from dynamical system theory.
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Copula based multivariate frequency analysis has been widely used to calculate drought frequency.
However, only frequency-independent imbalances are considered.
Hard (frequency-independent) selection was predominantly directional.
After multivariate modeling, two independent seizure outcome predictors were identified: ipsilateral spiking on postoperative EEG and preoperative seizure-frequency (whole model P-value <0.0001).
For the multivariate models, the independent variables that were significant on univariate analyses were included.
In the multivariate analysis, 3 independent factors were found to significantly influence cause-specific survival.
Table 2 presents multivariate analyses showing independent predictors of survival.
Multivariate analysis compared independent effects of clinical, virological and immunological variables upon disease severity.
Multivariate analysis: The independent prognostic factors most likely to impact survival were entered into the multivariate analysis model.
Frequency-domain independent component analysis.
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