Sentence examples for underlying trajectory from inspiring English sources

Exact(2)

But it does suggest the underlying trajectory remains modest enough that periodic airpockets should be expected, and argues against extrapolating any run of upside surprises.The more fundamental reason to worry is the ostensibly good news that unemployment had fallen to its lowest since late 2008.

7 8 Depending on the nature of the goals set, the individual clinical presentation and any underlying trajectory towards recovery or deterioration, the timescale for expected goal achievement will vary from person to person.

Similar(58)

On the other hand, the choice of a random destination, regardless of the origin, is not representative of real urban mobility, where individual's journeys show a high degree of spatio-temporal regularity, with a few highly frequented locations [12 14] and high predictability of the underlying trajectories [3, 15, 16].

In conclusion, we have shown that nMDS can achieve high compression of MD data while preserving the salient features of the underlying trajectories.

Latent trajectory modelling was used to evaluate longitudinal data and so estimate and predict unobserved underlying trajectories among these patients.

Secondly the model accounts for population heterogeneity by identifying latent classes and display underlying trajectories of cognitive decline.

To minimise the potential bias associated with early withdrawal from study treatment and to investigate patients' underlying trajectories of palliation, we have chosen a weekly or fortnightly assessment for QOL over 6 months that revealed consistent time effects (Bernhard et al, 2008).

Importantly, the noise in stochastic simulations is not merely superimposed on an underlying deterministic trajectory, but is created by the mechanism of the system and is therefore intrinsic to the trajectory.

The heterogeneity of the population with respect to age, gender, underlying comorbidity, trajectory and severity of illness, time to presentation, infecting organism, and the type and number of affected organs adds further complexity to trialing within an already challenging patient cohort.

The focus of this work is different: in fact, we are interested in evaluating the uniqueness of GPS information and the extent to which an unseen set of points can be linked to the underlying generating trajectory, thus revealing the identity of a user.

A well-known frailty index, for example, did not include a measure that directly relates to individual smoking or diabetes status [ 16], but these are certainly key factors underlying aging trajectory and long-term survivorship.

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