We analyze patient-based data to determine risk factors for long-term upper limb morbidities associated with RA harvest for coronary artery bypass grafting.
Strangely, although the MORVEL model of DeMets et al. (2010) uses space-based data to determine the velocities of four plates (Amur, Philippine Sea, Sundaland, and Yangtze) and partly to determine the velocities of two more plates (Caribbean and Scotia), complete merging of these two data types has not been done.
We used population-based data to determine the public's views of prenatal and postnatal mental health and to identify predictors of those views.
Knight et al. recently showed that using population-based data to determine the incidence of AFE resulted in more than double the number of cases that were identified with a specific validated case identification system [ 9].
Given the limitations in previous research and the burden that repeated hospitalization places on the health care system, we used population-based data to determine the association between patterns of health care engagement (health resource utilization and discharge disposition), and the risk of subsequent hospitalization among patients with diabetes.
But it said Congress must come up with a new formula based on current data to determine which states should be subject to the requirements.
The court said Congress must come up with a new formula based on current data to determine which states should be subject to that requirement.
According to our knowledge, there exist few studies, based on satellite data, to determine the crustal thickness.
Motagh et al. (2007) created viscoelastic and elastic half-space models by designing inversion schemes based on geodetic data to determine the interseismic deformation pattern along the GF and estimated a locking depth of ~8 17 km using both models, which is in good agreement with the observed seismicity (Janssen et al. 2009; Öztürk et al. 2015).
In addition to the individual subgroup analyses, a multivariate analysis was performed based on pooled data to determine predictors of response and the effect of treatment adjusted for predictive factors.
