These dynamic RMT variations resemble those we reported previously for visual and somatosensory evoked potentials and may represent time-dependent plastic changes in brain excitability in relation to the migraine cycle.
The dynamic RMT variations found here resemble those we had previously reported for visual and somatosensory evoked potentials, and may represent time-dependent plastic changes in brain excitability in relation with the migraine cycle.
represents time-dependent i th covariate for j th subject at k th cycle (k = 1,2,..., 5).
In reality, the demand and holding cost for physical goods may be time dependent.
In model 7, Y ij, is the at risk indicator of the jth event for subject i, λ0 j (t) is the baseline rate function for the jth event, x i is a covariate value, which may be time-dependent, for subject i, β j is the regression coefficient for event j, and t represents the time from start of observation.
In model 4, Y i is the at risk indicator of event for subject i, λ0 t) is the baseline rate function for the event, x i is a covariate value, which may be time-dependent but may not contain elements of the event history, for subject i, β is the regression coefficient, and t represents the time from start of observation.
Pharmacokinetic analysis of this study suggested that activity of ABT-751 may be time-dependent.
Many of these may represent genotype-dependent AS variants and suggest a remarkable diversity in AS patterns.
This stress-induced alteration may represent a state-dependent factor which is reversible.
Moreover, time-dependent data are adopted to represent time variable nature of REGs, MGs and ESSs instead of probabilistic models.
These genes may represent a core calcium-dependent signaling pathway that functions in multiple contexts.
