Additionally, simple univariate analysis of variance was used along with Tukey post hoc test to specify statistically significant differences, investigating all pairwise differences.
Monte Carlo simulations provide a simple software solution to understand the propagation of uncertainty in complex DOE models so that design space can be specified with statistically meaningful confidence levels.
Here, Al and Ni powders with similar composition are used to investigate how microstructural differences affect the measured time to reaction (TTR) between powders of different sizes processed under milling conditions specified by statistically designed experiments.
Conventional statistical inference can also be introduced because the sources of random variation are clearly specified and statistically tractable.
Post hoc analysis by Bonferroni's multiple comparison test specified a statistically significant increase in K i in mediastinal LNs post-exposure compared with the K i values prior to virus challenge (p < 0.015, Fig. 3a).
Bonferroni's multiple comparison test specified a statistically significant increase in 18F-FDG uptake in moribund group on days +3 or +4 postinoculation compared with surviving group (adjusted p = 0.0037 and p = 0.0001, for mSUVthreshold and SUVfixed volume, respectively).
Post hoc analysis by Bonferroni's multiple comparison test specified a statistically significant increase in SUV in mediastinal LNs up to days +14 or +15 post-exposure compared with the SUVs prior to virus challenge (adjusted p = 0.0006 on day +3 or +4, p < 0.0001 on days +5 or +6, +7 or +8, +9 or +10, and +15 or +16 respectively).
Post hoc analysis by Bonferroni's multiple comparison test specified a statistically significant increase in K i in mediastinal LNs up to days +15 or +16 post-exposure compared with the K i values prior to virus challenge (adjusted p = 0.0152 on day +3 or +4, p < 0.0001 on days +5 or +6, +7 or +8, and +9 or +10, respectively, and p = 0.0004 on day +15 or +16).
Student's t-test was used to determine statistically significant differences and p < 0.05 was considered to be statistically significant unless otherwise specified.
