While most differences between methods are statistically significant (P-values <0.01 for Wilcoxon rank sum test with Bonferroni correction), differences are largely small and the ranking for most methods is therefore not stable and depends on the experimental data type, the source network, the subnetwork size and other factors (see Supplementary Material).
All main and interaction effects of factors on prediction accuracy were found to be significantly different from zero (p < 0.001) in the ANOVA (Table S8) and prediction accuracy differences between methods were statistically significant (p < 0.05, Table S7), practically relevant and consistent in repeated sampling.
The difference between both methods was statistically significant (p < 0.001; kappa = 0.194).
In the analysis of variance of the acute infection counts, neither the variation between individual mice nor the difference between the counting methods was statistically significant.
The difference between the two methods was statistically significant (p < 0.005) (chi-squared).
The correlation between the two methods was statistically significant: p < 0.001 for both the right and left kidneys using Student's t test (paired, two sided) (Figure 5). Figure 5 Correlation between PA and CV methods.
For both cigarette types the relationship between the two methods was statistically significant (p < 0.05); this was based on a sample size large enough (n = 105) to obtain a precise estimate of the strength of the relationship.
For both cigarette types the relationship between the two methods was statistically significant (p < 0.05)." We have presented a study demonstrating a novel and simple system to quantify in vitro cigarette smoke deposition in real-time.
The difference between the two methods was statistically significant D = 0.39, 95% CI 0.33 to 0.45, P < 0.0001.
The differential in AUC values between the two methods was statistically significant for both undirected and directed-signed networks (up to 12% with undirected networks and up to 37% with directed-signed networks, p < 0.05 and p < 10 -3 respectively) Interestingly, the largest differential corresponded to the directed-signed larger 50-gene networks (37%, p < 10 -3).
