Sentence examples for variability in the times from inspiring English sources
Our model results suggest that 1) stochastic events impact the likelihood of successfully interrupting transmission with large variability in the times required, 2) the relative reduction in morbidity caused by the interventions were age-group specific, changing over time, and 3) the post-intervention changes in morbidity were larger than the corresponding impact on transmission.
Although all cells are assumed to be statistically identical, analogous to a neutral theory for the different clone lineages, our mathematical approach captures the intrinsic variability in the times to HSC differentiation after transplantation.
The time to offset of the pharmacodynamic effects of remifentanil was statistically significantly longer in the moderate/severe group at the 24 hours and 72 hours SDTs, and overall there was greater variability in the times to offset of effects in this group compared with the normal/mild group (Fig. 1).
Second, there was considerable variability in the time to euthanasia within the traditional group.
There is less relative variability in the time spent in Idle and Notch 8 versus any other notch.
This variability in the time from symptom onset to evaluation and diagnostic methods may have influenced the testing results.
These rates are difficult to interpret due to variability in the time interval used to monitor readmission.
c) variability in the time series using the root mean squares of successive differences (RMSSD), which describes the difference in successive activity counts from minute to minute.
In addition, insulin-mediated uptake must have the ability to capture inter- and intra-patient variability in the time-varying insulin resistance observed in these patients.
This does not reflect inter-annual variability in the time series, which would be assumed as the drivers for the carbon stock changes fluctuate between the years.
A novel controlled-seed computational technique based on pseudo-random number generation is proposed to efficiently represent the natural variability in the time series input.
