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Figure 1 depicts the least squares means change in Ham-D score from baseline over time for EFMT and CT groups.
In cancer cells, for instance, the overall amount of DNA methylation decreases as the disease progresses, even while specific parts of the DNA near important genes experience abnormally high levels of methylation; the patterns of histone modification observed in cancer cells also deviate more and more from the normal baseline over time.
During the open-label treatment-extension phase, tenascin-C concentrations returned toward baseline over time and then surpassed baseline levels by the final assessment (Fig. 5c).
Patients with close caregivers also scored better on a functional test called the Clinical Dementia Rating, remaining significantly closer to baseline over time compared to those with more distant caregivers.
We defined baseline HRV as mean variability for the first 24 h of monitoring and studied individual and population average percentage change (from baseline) over time in diverse HRV metrics, in comparison with the time of clinical diagnosis and treatment of sepsis (defined as systemic inflammatory response syndrome along with clinically suspected infection requiring treatment).
Change from baseline over time for these data is shown in Figure 4.
The changes in drug concentrations relative to the baseline over time are summarised in Figure 1.
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Some patients whose sera reacted with CCP2, Fib-α and Fib-β at baseline may over time become IgM-negative.
These improvements in health status may be largest compared to baseline and may flatten over time.
Any variations of those baselines over time may be an indication that the rider had used performance-enhancing drugs, so that rider would be pulled from competition before he wins races.
Therefore, in the presence of widespread and substantial changes in emissions, a multistep analysis of health benefits (i.e., multiple adjoint simulations for gradually altered emission baselines over time) is more appropriate.
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