First, a correlation considering all the AusTOMs scales for each domain with EQ-5D Health Status (self classifier score and the 5 dimensions) and Thermometer at admission was performed.
We can assess the PH assumption by calculating a Pearson correlation coefficient and its significance for each variable in the model between its Schoenfeld residuals and a function of the corresponding event times, with detection of a significant correlation considered evidence of a violation of the PH assumption.
Additional, a new correlation considered all of the above effects especially static bed height and fluidizing gas flow rate, was developed for predicting the jet penetration depth in spout fluid beds.
The resulting 8-item questionnaire had excellent internal consistency reliability, and a moderate mean inter-item correlation considered indicative of unidimensionality.
This is a low correlation considering that HHIHS and HHIH are frequently used as if they were interchangeable measures.
Calculations with the literature equations cannot predict experimental data, thus a unified correlation considering the geometric parameter was provided to predict holdup.
This is statistically significant at the 90% confidence interval, which is a good correlation considering the low number of data points available for comparison.
Random packing of pebble beds is taken into account by an approximated correlation considering the packing factor and coordination number of pebble beds.
Indeed variants belonging to the same linkage disequilibrium blocks have a strong positive correlation (consider that we identify multiple associating variants across both the known, and our novel, regions).
Given the non-parametric nature of some variables, we used the Spearman correlation, considering a value of.05 or lower for statistical significance.
