Dividing the real-world values by the
ICC (single) was analysed by selecting the options; two-way random, single measure, absolute agreement and ICC (average) was analysed by selecting; two-way random, average measure, absolute agreement.
Using SPSS version 14 software, ICC Model (2,1) was analyzed by selecting the options; two-way random, single measure, absolute agreement and Model (2,3) was analyzed by selecting; two-way random, average measure, absolute agreement.
Thereafter, we considered only principal components with significant eigenvectors, as determined by the 'random average under permutation' metric of Peres-Neto et al. [ 18], which was based on 1000 permuted datasets.
The overall and within cluster calibration slopes of the conditional risk calculation were >1 in the development data (i.e. predicted risks lower than observed risks), because the anesthesiologist effects were shrunken to the average effect by the random intercept model.
This is not accounted for by the random effects in the model, because those are zero on average by construction.
We found that proteins within the same pathway in our study show significantly higher correlation to phenotypic response patterns compared to that expected by random (the average Pearson correlation coefficient is 0.39 at P < 4.2 × 10−10).
The larger the Z-score, the less likely that the difference between phylogenetic group's average and the random group's average is by chance.
In their model, the stochastic problem is transformed into a deterministic one by replacing the random demand with its average values.
All the numerical results are obtained by averaging over the random locations of all the users.
A series of discrete power levels is defined for the sources and the probability of choosing each power level is analyzed by averaging over the random channel fading.
