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If neurobiological measures can predict recidivism, the principle has been proven.
Ideally, when assessing whether neuroimaging measures can predict treatment response, neuroleptic naive patients should be recruited.
Another concern is regarding clinical utility and whether these automated MRI measures can predict progression from MCI to Alzheimer's disease.
Data from the literature showing that cognitive measures can predict functional outcomes [ 6] emphasize the importance of cognitive enhancement.
Previous studies suggest an association between heart disease, self-reported health and morbidity and mortality, and that patient reported outcome measures can predict prolonged hospital stay, future QoL, return to work, and morbidity and mortality in cardiac patients.
Multiple linear regressions are used to 1) ask how well our model fits MEG signals over time, and 2) test whether the mapping between the MEG signals and visual and semantic measures can predict MEG signals for novel items using a leave-two-out cross-validation approach (Fig. 1; Mitchell et al. 2008).
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These two sets of findings suggest that a pre-trauma test using a reflex or choice measure can predict impairment in the respective modality, but not a combination of both.
It has been questioned whether the extent of initial migration measured can predict later failure of the Exeter stem, or more generally, of (polished, tapered, collarless) implants that are designed to migrate (Huiskes et al. 1998, Alfaro-Adrian et al. 1999, Stefansdottir et al. 2004, McCalden et al. 2010).
In reality, the study is gender-neutral; Baumgartner is trying to develop measures that can predict whether any recruit, male or female, can handle the physical demands of certain combat tasks.
One concern of this approach is that variability in socioeconomic measures (SEM) can predict distribution of indices of physical environment [ 27- 30].
Two methods are then used to check if these easy-to-measure dimensions can predict the dimensions critical to the furniture design.
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